I’m building Needly, a startup validation copilot that helps founders avoid wasting months on the wrong idea.
The idea is simple: you enter your startup idea, and Needly helps you identify the weakest assumption, run a one-week test, and decide whether to keep, pivot, or drop the idea.
I’m not trying to build another AI idea generator. I want Needly to help founders stay honest before they build too much.
The result page is designed around a “30-second test”:
Can a founder instantly understand:
I’m currently thinking a lot about validation signals. A waitlist can be misleading. Interviews can be biased. Compliments are not validation. Stronger signals might be things like repeated pain, urgency, willingness to pay, follow-up behavior, or users introducing you to others.
I’d love feedback from other founders:
What would Needly need to show for you to trust its recommendation?
Here’s the current MVP landing page:
https://opulent-canvas-front.lovable.app
I’m also happy to manually create a free validation report for a few founders in exchange for honest feedback.
Two honest questions before I'd trust it.
First, privacy. I'm typing my actual idea into your tool. Where is that data stored, and how do I know Needly isn't just collecting founders' ideas to reuse later? For a validation tool that runs on trust, that needs a clear answer up front, not buried in a policy.
Second, the method. 7 days and 20 people is very little. Finding 20 target users in a week doesn't prove a result, it proves you found 20 people. And if they aren't really your target, the data is worse than nothing, because it gives you false confidence. At that point it's not far from asking 20 random people what they think of your idea. Real signal needs a longer horizon and enough numbers to actually mean something, not a one-week snapshot.
Also, a lot of the "riskiest assumption / competition / market outlook" part a founder can already get from Grok, Claude or Perplexity for free. So the real question is what Needly does that those don't. If the answer is the frozen threshold and forcing one honest test, lean into that, because the analysis part is already commoditized.
This is exactly the right critique. Privacy cannot be a vague promise: Needly needs to say clearly, before an idea is entered, what is stored, why, and how a founder can delete it. I should not expect people to trust the tool without that.
I also agree that 7 days and 20 people are not proof of a market. The point should be a small, falsifiable first experiment, not a statistical verdict. If the right people were not reached, the honest result is inconclusive — not “drop.”
And yes: generic analysis is becoming cheap. The product should be the operating system around it: identify one assumption, freeze the pass rule before results, record raw evidence, distinguish reach from demand, and make the decision traceable. That is the part I’m leaning into. Thanks — this is a very useful push.
Love this direction — killing bad ideas early is one of the highest ROI things a founder can do.
From my experience, the strongest signal is behavior, not words.
Things that make me double down:
People ask for it again without being prompted
They try to solve the problem themselves (workarounds)
They’re willing to pay or commit time early
They introduce you to others with the same problem
Things that make me kill an idea:
Polite interest but no follow-up
“This is cool” but no urgency
You have to keep explaining why it matters
On your product: I’d trust 2–3 test options ranked by speed + signal strength. Founders think differently, so giving options helps.
The key for trust is transparency — show why a recommendation is made, not just the recommendation itself.
This is a really valuable problem to work on.
I agree on the signals: return, a workaround, time, payment and referrals all reveal more than a positive answer. I’m leaning toward one primary test because the founder needs a next move, not another decision tree. But I like keeping alternatives visible below it, with the reason they were not picked first. That gives flexibility without hiding the recommendation behind a black box. Transparency is the standard: show the assumption, the pass rule, the evidence and what would change the decision. Thanks — this is a strong product checklist.
Good question, and honestly the "compliments aren't signal" point is the one most founders learn the hard way. For me the thing that actually convinced me an idea was worth building was people doing something costly and unprompted, not filling a waitlist, but coming back a second time on their own or asking for something we hadn't built yet.
Waitlists and "I'd use that" comments turned out to be close to noise in my experience. If Needly can help founders tell the difference between "this is nice" and "this is a problem I already have," that alone would save people months.
Exactly. “This is nice” is not the same as “I already have this problem.” I’m treating unprompted return, a real follow-up, shared workflow data, an introduction, or payment as stronger evidence than a waitlist or a compliment. The goal is to make Needly show the founder what a person actually gave up — time, effort, access or money — before calling the idea promising. Thanks, that is a very clear way to frame the difference.
The strongest kill signal I've seen is when people describe the problem with energy but won't commit time to test the fix. Not money — time. If you give them a specific 15-minute exercise ("run this test with your next idea this week") and they don't, the pain isn't real enough to pay for.
For the "double down" signal: when users start asking you to solve adjacent problems. They came for idea validation but now want you to help with the actual test design, landing page copy, first customer conversation script. That's not feature creep — it's them telling you where the real product is.
On trust: I'd want to see Needly disagree with me. If every idea gets a balanced "here's the risk, here's the upside," I'd stop trusting it fast. The tool that says "this is probably not worth your time, and here's exactly why" earns more credibility than one that hedges.
This is a very useful distinction. Time is often the right first commitment because it is concrete but easier to ask for than payment. I also like the adjacent-problem signal: if people ask for help with the next painful step, that is evidence of real pull rather than generic interest. And I agree Needly needs to be able to disagree clearly. A verdict should be “not worth testing yet” when there is no costly action, no existing workaround, or no reachable customer — not a polite AI summary. Thanks, this gives the product a stronger standard.
Founders will move the goalpost after they see the number. Not dishonestly, they'll just have a good reason ready by then. So the pre-set pass rule only holds up if it's locked and shown next to the result with a timestamp on it. Leave it editable and it quietly stops meaning anything, and you won't be able to tell from your own data which ones got revised. On the actions you're tracking: asking for a report is nearly free, so it'll cluster with the flattering signals. Coming back a week later without being prompted costs something. Worth weighting them differently rather than counting them in one bucket.
Best kill signal isn't what they say, it's no pull. Pain's real, they agree to a follow-up, then you're chasing to reschedule. If they won't do one small annoying thing to move it forward (reply to a cold email, send real data, drop $20), that's your answer. Double-down is the same thing flipped: they do the annoying thing before you ask. Willingness to pay matters, but the version that counts is now, not "yeah I'd pay for that."
One test, not three. The founder using Needly is already stuck deciding. Hand them 2-3 ranked options and you've handed the decision back. Picking the test is the job.
And is Needly passing its own test? "Free report for feedback" is the compliment trap you're warning about. Feedback is cheap. The founders who reply within the hour or ask when they can pay are the only real signal. Watch who does that.
You’re right to call that out. Needly should be judged by the same rule: feedback alone does not validate it. I’m going to track the stronger actions instead — who shares a real idea, completes a test, returns, asks for a report, or explicitly asks to pay. And I agree on the product: one recommended test, with a clear pass rule set before the founder sees results. The job is to remove the easy escape route of choosing the test most likely to flatter the idea. Thanks — that is a fair and useful challenge.
One thing I'd be careful about is treating every startup the same. The strongest validation test depends on the assumption that's actually carrying the business.
If the biggest risk is demand, the only signal I'd truly trust is someone committing real money or real effort not compliments, waitlists, or "I'd use this." But if the biggest risk is whether the problem is painful enough, I'd want evidence that people are already investing significant time or resources into a workaround.
I like the idea of recommending a single next test instead of overwhelming founders with options. The value isn't just identifying the weakest assumption it's helping founders run the smallest experiment that produces the strongest evidence. Less analysis, more decision-making.
That framing is exactly right. The next test should follow the assumption that could actually kill the business, not a generic validation checklist. If the risk is pain, Needly should look for costly workarounds already happening. If it is demand, it should ask for a paid or signed commitment. If it is behaviour, the test should be whether people return to a simple version without being reminded. If it is distribution, the first job is proving that the right people actually saw and understood the offer. I’ve added that risk choice to Test Mode so the primary experiment has a clear reason behind it. The goal is one small test that produces the strongest evidence for that specific uncertainty. Thanks — “less analysis, more decision-making” is a great product principle.
Love that direction. I think tying every experiment back to a specific risk makes the recommendation feel far more credible than a generic "validate your idea" flow.
It also creates a clearer success criterion: founders aren't just completing tasks they're reducing uncertainty. That's a much easier outcome to trust.
The signal I've learned to trust least is anything people say before they've used the thing — "I'd totally use this" is almost free to give. The one I trust most is whether someone comes back unprompted once the novelty wears off.
So if Needly can, I'd push the one-week test toward a behavioural signal rather than an opinion one: not "did people say yes," but "did anyone use the duct-taped version twice without me reminding them." For a lot of ideas the riskiest assumption isn't "is this a problem" — people will validate that to be polite — it's "is it a problem people will change their routine to fix." Retention of a scrappy prototype answers that; surveys don't.
I agree. A return without a reminder is much stronger than a survey answer because it shows the problem still pulls the person after the novelty is gone. For that kind of idea, Needly should not ask “would you use this?” It should help the founder run a small manual version and measure whether the same person comes back or changes part of their routine twice. I’ve added unprompted return as a distinct evidence signal, and I’m now making Test Mode choose the test based on the riskiest assumption — pain, demand, behaviour or distribution. Thanks, this is a useful reminder that retention can be the real validation test.
I like that you're focusing on helping founders invalidate ideas instead of encouraging them to build faster. I think one of the strongest validation signals is whether people are willing to invest something; whether that's money, time, or introducing you to someone who has the problem. Out of curiosity, how do you plan to distinguish between users who are just curious and those who are genuinely ready to solve the problem?
That is exactly the distinction I’m trying to make. Needly should treat curiosity as a weak signal and only move confidence up when the person gives up something: time for a specific follow-up, access to their workflow or data, an introduction, a manual trial, a return without prompting, or money. I’ve just added a visible signal ladder so the founder can see why a compliment is not equal to a commitment. The key is not an AI score — it is showing the strongest action the person actually took, plus what would be needed to move to the next level. Thanks, this helps make the rule much clearer.
It's a great idea, I have many ideas, but everytime I built one product, no customer came. This cost my confidence.
What solution will you choose?
I’m sorry that happened — it is painful, and it can make the next idea feel much harder to trust. The solution I want Needly to provide is not another promise that an idea will work. It should help before the build: find people already experiencing the problem, identify the riskiest assumption, make one clear offer, and ask for a costly next step before writing product code. If nobody comes after a focused test, the founder learns early whether the issue was the customer, the offer, the channel, or the test itself. That is still progress, because it protects confidence and months of work. If you have an idea you are considering, feel free to share it and I can run the validation flow on it.
The signal I trust most, from building my current product: people already doing a painful workaround at scale. Before writing code I looked at what people were fighting with - in my category it was thousands of people wrestling spreadsheet templates into something the spreadsheet was never meant to do, plus forum threads asking for a version "without sign-up" where every answer was a 14-day trial. A workaround is revealed preference: they want the outcome badly enough to suffer for it. Interviews tell you what people think they'd do; workarounds show what they already do, unprompted, this week.
The less obvious one: quiet complaint threads. Someone describing their exact workflow pain in a 6-upvote thread is a stronger signal than a 400-upvote "best tools" megathread - the megathread is entertainment, the quiet one is a person blocked at work right now.
For the 30-second page, I'd make it force one number: how many people can you FIND (not imagine) doing the workaround this month. "I can't find any" is the cleanest drop signal there is.
That distinction is excellent. A workaround is stronger than stated interest because it exists before the founder appears. I’ve just added a place in Needly to count real people already using a manual workaround and log the evidence, rather than estimating a market from generic interest. I also like the quiet-complaint point: the useful unit is a concrete person blocked in a workflow, not a popular discussion. If a founder cannot find any of those people, Needly should treat that as a serious reason to stop or narrow the idea. Thanks — this makes the product more evidence-first.
Prepayment is the only one-week signal I trust. I write angel checks through Henson Venture Partners and we don't take a deal seriously below $1,000 MRR or 100 users, because everything softer (signups, kind words, survey answers) is politeness, not demand. If Needly pushes founders to ask for money or a signed pilot in week one, it will kill more bad ideas than any scoring model.
Agreed on the direction: for a B2B idea, a paid pilot or signed commitment is far more useful than a waitlist. Needly now puts payment or preorder at the top of the evidence ladder, but it also asks whether the payment path actually worked so a technical failure is not mistaken for lack of demand. I don’t think every week-one test should force the same amount; a small deposit, paid pilot, or signed next step needs to match the buyer and the risk. But the principle is clear: if the founder cannot get a costly action, the tool should not call the idea validated. Thanks — strong guardrail.
The signal I'd trust most is someone coming back without being asked. Waitlists are cheap, interviews are polite, but someone who returns on their own means the problem is real enough to pull them back.
The one I'd kill an idea over is when everyone says "that's interesting" but nobody asks how to get access. Compliments with no follow through is the clearest no you'll ever get.
That makes sense. A return without prompting is a strong form of pull: the problem brought the person back, not the founder. I’ve added it as its own evidence type in Needly, alongside payment, concrete commitment and observed behavior. I also like your kill rule: “interesting” only matters if it creates a next action — asking for access, scheduling time, sharing a workflow, or paying. Otherwise Needly should show the result as weak or inconclusive, not positive. Thanks — it is a simple test for whether the idea pulls users or merely gets polite reactions.
So thoughtful
One signal that's cheap and hard to fake: whether the category is actually forming businesses, not just being discussed. The Census Bureau's Business Formation Statistics publishes monthly business applications by state and by sector, free, back to 2004. If applications in a sector have been flat for three years, a "validated" idea there is competing for a pool that is not growing.
The trap is that the series will not cross state and industry. State rows are all-industry totals and sector rows are national, so "cleaning businesses started in Texas last month" does not exist in it, and anything showing you that number built it out of something else. For industry by state you need County Business Patterns plus Nonemployer Statistics, which are far more detailed and lag two to three years, so they answer how many exist, never how many started recently.
For a one-week test I would split it: interviews tell you whether the pain is real, the formation series tells you whether the pain has a growing market attached. Founders usually skip the second one.
That’s a useful distinction. I like separating two questions: is the pain real right now, and is the broader category growing enough to support a durable business? For Needly, market formation should be a context layer, not a verdict: a one-week test measures immediate behaviour, while formation data helps founders see whether they may be entering a growing or flat market. The limits you point out matter too — I’d rather show the source and its coverage than fabricate a precise local number. Thanks, this is exactly the kind of evidence transparency Needly needs.
The single most honest validation signal I've found: a stranger pays money without you asking. Everything else — waitlist signups, "great idea!" comments, survey responses — is noise.
I shipped a Shopify tutorial that got 262 views and 9 checkout starts but 0 completed payments. For weeks I didn't know if the idea was dead or the payment gateway was broken (it was the gateway — Chinese PayPal can't receive international payments by default). Without that one piece of data, I couldn't assess anything else.
For Needly, I'd build the simplest possible "pay $1 to validate this idea" step into the flow. Not because $1 matters financially — but because willingness to pay is the only signal that can't be faked. If someone won't risk a dollar on their own idea, why would they risk months of their life building it?
Repeated pain and urgency are good secondary signals, but they're self-reported. Money is behavioral.
That’s a great example of why payment needs context, not just a yes/no score. A completed payment is an exceptionally strong signal, but the 9 checkout starts / 0 payments case shows that Needly also needs to surface possible test failures before declaring demand dead. I like the idea of a tiny paid commitment step: not necessarily $1 in every market, but a real amount or deposit that makes the user give up something. I’m adding payment/preorder as the highest tier of evidence, plus a check for whether the checkout or offer itself could have failed. Thanks — this is a very practical lesson.
Quick update after all your feedback: I added a Test Mode that freezes the rule before the test, separates demand from distribution risk, and can return “Inconclusive” when there is not enough evidence.
I also added a Founding Beta interest list: €9/month once the saved validation history and evidence workspace are ready. No payment is open today.
The plan is for founders who want to save reports, track real test evidence, and make Keep / Pivot / Drop decisions based on behaviour rather than compliments.
If that would be valuable to you, try it here and click “I want this plan”:
https://needly-rho.vercel.app/
Honest question: would €9/month feel worth it if Needly helped you avoid building the wrong thing?
the honest answer is the strongest signal is the one that costs the other person something. a waitlist is weak because signing up is free and consequence-free. what i trust, in rising order: 1) time, someone gets on a 30 min call and gives you their specific painful story unprompted, 2) money, a pre-order, a deposit, a "yes take my card", 3) work, they hand over their own data, spreadsheet, or process to try it. any of those beats 1000 email signups. so for Needly the trap to design against is that founders will use it to feel validated, not to get killed. the most useful thing you could do is force the test to have a real cost of being wrong, e.g. "go get 3 people to pay \$X or give you their calendar time this week", not "did 40 people click." one caution on your own product: a validation copilot has the exact problem it diagnoses, founders want to believe their idea is good, so make the default output biased toward "here is why this fails" rather than a friendly score. the tool that tells people to stop will be trusted more than the one that cheerleads.
Thanks a lot, this is a very strong way to frame it.
I agree that the strongest signal is the one that costs the other person something. A waitlist or a click can be useful as a weak signal, but it is too cheap to trust. Time, money, and real work are much harder to fake.
Your ranking makes a lot of sense: someone giving 30 minutes to explain a painful story, paying a deposit or preorder, or handing over real data/processes to try the solution is far more valuable than a large list of passive signups.
I also agree with the trap you mentioned. Needly should not help founders feel validated. It should help them find out where the idea breaks. So the default test should probably force a real-cost action, like: “get 3 target users to pay, give you calendar time, share real data, or change part of their workflow this week.”
Your caution on Needly itself is fair too. A validation copilot has the same problem it diagnoses: founders want to believe the idea is good. So the product should probably be biased toward falsification, not cheerleading. Instead of a friendly opportunity score, the first output should be: “Here is the strongest reason this might fail, and here is the test that can prove it.”
Really appreciate this. “The tool that tells people to stop will be trusted more than the one that cheerleads” is exactly the kind of principle Needly should be built around.
Strong thread. One kill signal I'd add that's easy to mistake for a real one: silence that's actually a distribution problem, not a demand problem.
I'm living this right now — I validated a pain that's genuinely real (people will vent for paragraphs about not being able to see their true numbers), built a demo, posted it… and got near silence. The trap is reading that as "nobody wants this." But at zero audience, a post that reaches nobody produces the exact same silence as a dead idea. Same symptom, opposite diagnosis, opposite next step.
So the signal I'd want a tool to force is separating "did enough of the right people actually see it" from "they saw it and shrugged." Only the second is a real kill. Otherwise you murder good ideas for lack of reach.
And to build on what someone above said: for a solo founder the riskiest assumption is often distribution, not desire. Plenty of real, urgent pains have no channel you can reach without an audience you don't have yet. "They want it" and "I can reach them" are separate kill criteria — and the second takes more of us down.
That framing is exactly right. The next test should follow the assumption that could actually kill the business, not a generic validation checklist. If the risk is pain, Needly should look for costly workarounds already happening. If it is demand, it should ask for a paid or signed commitment. If it is behaviour, the test should be whether people return to a simple version without being reminded. If it is distribution, the first job is proving that the right people actually saw and understood the offer. I’ve started adding that risk choice to Test Mode so the primary experiment has a clear reason behind it. The goal is one small test that produces the strongest evidence for that specific uncertainty. Thanks — “less analysis, more decision-making” is a great product principle.
Thanks a lot, this is a really important distinction.
I agree that silence can be very misleading if the test never reached enough of the right people. A post with zero audience can produce the same result as a dead idea, but the diagnosis is completely different.
Needly should definitely separate demand risk from distribution risk. Before treating silence as a kill signal, it should ask: did enough target users actually see the offer, understand it, and have a chance to act? If not, the result should not be “drop the idea.” It should be more like “inconclusive — distribution was not strong enough to test demand.”
I also like your point that for solo founders, the riskiest assumption is often not “do people want this?” but “can I reach the right people consistently?” Those are separate kill criteria.
So the validation loop should probably distinguish:
They saw it and ignored it → possible demand problem
They never really saw it → distribution problem
The wrong people saw it → targeting problem
The ask was unclear → test design problem
That would help avoid killing good ideas just because the founder had no reach yet.
Really appreciate this. It adds an important missing layer to Needly: the test should evaluate not only desire, but also whether the founder has a realistic path to distribution.
Probably the strongest signal for me would be people paying before the thing exists, even a small deposit or waitlist with a real commitment attached. Opinions are free and everyone's polite when you ask "would you use this?" Money or a real time commitment cuts through that noise fast.
Thanks, I agree with this a lot.
A real commitment before the product exists is probably one of the strongest validation signals. Someone saying “I would use this” is easy, but paying a small deposit, joining a paid waitlist, booking time for a serious test, or committing real work time shows much more intent.
Needly should probably treat opinions and compliments as weak signals by default, and push founders toward commitment-based tests whenever possible. The question should not be “do people like this?” but “will they give money, time, data, access, or effort before the product is fully built?”
That kind of signal would make the recommendation much more trustworthy, because it cuts through polite feedback and shows whether the pain is strong enough to create action.
Really appreciate this, it reinforces the direction Needly should take.
Building on the escalation-ladder point above — the ladder's right, so the thing I'd actually design Needly around is making the one-week test's pass condition sit high on that ladder by default. It's easy to run a test that technically "passes" on language or a warm reply, and a founder who wants their idea to live will unconsciously aim it there. If Needly picks the weakest assumption and forces the check to be a behavior or economic action — someone paid, handed over a real work email, changed a workflow — it stops people grading their own homework.
The other thing I'd want from it is permission to be inconclusive. The honest verdict on a lot of one-week tests is "not enough signal yet, keep going," but a tool that always returns keep/pivot/drop is tempted to manufacture a verdict to feel useful. If Needly can say "inconclusive, here's the weakest part of what you ran" without it landing as a failure, I'd trust its keep/drop calls a lot more.
Il dit un truc vraiment intéressant : Needly ne doit pas laisser le fondateur choisir un test trop facile à réussir. Le test d’une semaine doit viser un signal haut dans l’échelle : comportemental ou économique, pas juste “les gens ont répondu positivement”. Exemple de vrais signaux : quelqu’un paie, donne son email pro, change son workflow, partage des vraies données, ou fait une action coûteuse.
Le deuxième point est encore plus important : Needly doit pouvoir dire “inconclusive”. Pas toujours forcer un verdict Keep / Pivot / Drop. Parfois, le résultat honnête d’un test est : “on n’a pas assez de signal, continue à tester, mais améliore cette partie du test.” Ça rendrait Needly beaucoup plus crédible, parce qu’un outil qui donne toujours une décision claire peut sembler inventer une conclusion.
Réponse à envoyer :
Thanks, this is a very strong point.
I agree that the pass condition should sit high enough on the signal ladder by default. Otherwise founders can accidentally design a test that “passes” on weak signals like polite replies, warm interest, or people saying the problem is real.
Needly should probably force the main test to check for a behavioral or economic action whenever possible: someone pays, changes a workflow, shares real data, gives a work email, schedules a serious follow-up, or repeats the core action without being reminded. That would make the test harder to game and stop founders from grading their own homework.
I also really like your point about allowing an inconclusive result. A lot of one-week tests will not honestly produce enough evidence for a confident Keep / Pivot / Drop decision. If Needly always forces a verdict, it risks manufacturing certainty just to feel useful.
So maybe the decision set should be:
Keep
Pivot
Drop
Inconclusive — not enough signal yet
And if the result is inconclusive, Needly should explain why: wrong target segment, weak distribution, low sample size, unclear ask, or the test did not reach a strong enough signal level.
That would probably make the Keep / Drop recommendations much more trustworthy, because users would know Needly is willing to say “we don’t know yet” instead of pretending to be certain.
Really appreciate this. “Inconclusive” feels like an important missing piece.
I’d trust Needly if it separates signal strength from decision confidence. Founders often treat one positive action as proof, when the more useful pattern is an escalation ladder:
• Language: they say the pain is real.
• Commitment: they schedule a follow-up or share real data.
• Behavior: they change a workflow or repeat the action unprompted.
• Economic: they pay, sign an LOI, or bring in the budget owner.
I would not let one level pass the idea. Require two independent signals, with at least one behavioral or economic signal, and freeze the threshold before the test begins. Contradictory evidence should be recorded rather than averaged away.
My kill signal: target users repeatedly acknowledge the pain but will not incur even a small cost—time, data, workflow change, introduction, or money—after the message and acquisition channel have been tested.
My double-down signal: the behavior repeats without reminders and one user pulls another user into the loop.
I’d prefer one recommended test, but the result should show four receipts: the assumption being tested, the precommitted threshold, confidence in the recommendation, and what evidence would reverse it. I’d also separate “the idea failed” from “the test design failed,” because false kills can be as expensive as false confidence.
That kind of calibrated uncertainty would make the recommendation more trustworthy than another opportunity score.
Thanks a lot, this is extremely useful.
I really like the distinction between signal strength and decision confidence. That feels much more trustworthy than treating one positive action as proof that the idea is validated.
The escalation ladder makes a lot of sense: language, commitment, behavior, and economic signals. Needly should probably treat language as the weakest signal, and require stronger proof before recommending that a founder doubles down.
I especially like the idea of requiring two independent signals, with at least one behavioral or economic signal. That would prevent founders from overvaluing one good response, one signup, or one enthusiastic interview.
Freezing the threshold before the test starts also feels essential. The founder should commit to the decision rule before seeing the data, otherwise it becomes too easy to move the goalposts.
Your point about contradictory evidence is important too. Needly should not average it away into a clean score. It should show the contradiction clearly, because that might reveal whether the idea failed, the test design failed, or the target segment was wrong.
I also like the four receipts idea for the result page:
the assumption being tested
the precommitted threshold
confidence in the recommendation
what evidence would reverse it
That would make the recommendation feel much more calibrated and much less like a black-box opportunity score.
The distinction between “the idea failed” and “the test design failed” is probably one of the most important parts. Needly should avoid false confidence, but also avoid false kills.
Really appreciate this. This gives me a much clearer direction: Needly should not just score ideas, it should show calibrated uncertainty and help founders make better evidence-based decisions.
"compliments are not validation" is the whole thing right there, one line doing more work than most frameworks. and yeah, the killer signal for me is people agreeing the problem's real but not changing anything about how they work.
Thanks, I really like that.
“Compliments are not validation” might become one of the core principles of Needly. It makes the whole idea much clearer: positive feedback is not enough unless it leads to action.
I agree with your kill signal too. If people admit the problem is real but keep their current workflow, do not try the solution, do not pay, and do not take any concrete next step, that probably means the pain is not urgent enough yet.
Needly should help founders separate what people say from what people actually do. The goal is not to collect compliments, but to find evidence of behavior change.
Really appreciate the feedback.
I'd trust one recommended test, but only if it defines the decision rule before the test runs. For example: within 7 days, 5 of 20 target users must complete the core action twice without a reminder; otherwise pivot. A landing-page signup validates the message and acquisition path, while repeated completion of the core action validates product behavior. Needly could make the founder write and freeze the kill threshold before any results arrive. That would reduce the temptation to move the goalposts after seeing weak data.
Thanks, that makes a lot of sense.
I agree that one recommended test is only trustworthy if the decision rule is defined before the test starts. Otherwise the founder can reinterpret weak results after the fact and convince themselves the idea is still working.
I really like your example: “within 7 days, 5 of 20 target users must complete the core action twice without a reminder; otherwise pivot.” That kind of rule is much stronger than a vague goal like “get some interest.”
The distinction between landing-page validation and product-behavior validation is also important. A signup can validate the message or acquisition path, but repeated completion of the core action validates something deeper: whether users actually change behavior and get value.
Needly should probably force founders to write and freeze the kill threshold before results arrive. Then the report can compare the evidence against that rule instead of giving a subjective AI opinion.
So the flow becomes clearer: define the assumption, choose the test, freeze the decision rule, collect evidence, then trigger Keep, Pivot, or Drop based on what actually happened.
Really appreciate this. It makes the validation loop much more disciplined.
On "what signal would make you kill an idea" — almost everyone here is pointing at behavior: won't pay, won't drop the current workaround, won't take a costly action this week. That's right, and it's the part most founders skip. But all of it sits downstream of talking to users.
The kill signal I'd want to fire earliest is upstream of that: is there already a structured free alternative that covers this? Not "does it have competitors" — specifically, can someone get most of the outcome today for nothing. Saturation has killed more of my ideas than bad execution ever has, and checking costs one search instead of a week.
The reason I'd push that at Needly in particular: you say you're not building another AI idea generator, and I believe you, but my guess is a decent share of what gets typed into a validation copilot will be an AI-assisted idea. And AI idea generation is recombination of what already exists, so it tends to land in saturated space by default. A tool that only tests the riskiest assumption against users will cheerfully confirm a real, urgent pain that four free tools already solve. "The pain is real" and "this is worth building" are separate questions, and the assumption test only answers the first.
Where I'm speaking from: I run an experiment where an AI does the strategy and the work and I only touch the things I can't undo. The first version was fully hands-off. It got nothing, and it's still at zero sales. I don't think that's because the model was weak. My own read is that nothing in the loop was ever pointed at the question above — whether the thing already existed, for free, before any of the work started.
On one test versus 2–3 ranked: one. Hand me three and I'll pick the one I'm most likely to pass. Not on purpose, but I will. A menu is where a founder quietly re-optimizes for surviving the test instead of learning from it.
Thanks a lot, this is one of the clearest critiques I’ve received.
I really like the distinction between “the pain is real” and “this is worth building.” You’re right that a user test can confirm real urgency, but still miss the fact that the outcome is already covered by structured free alternatives.
That should probably become an upstream step in Needly before the one-week test: not just “are there competitors?”, but “can the target user already get most of this outcome for free today?” If the answer is yes, then the burden of proof should be much higher before recommending that someone builds.
This is especially important because a lot of ideas entered into a validation tool will probably be AI-assisted or recombined from existing products. That means they may land in saturated spaces by default. Needly should not only test whether the pain exists; it should also test whether the idea has enough room to be worth pursuing.
Your point about the test menu is also strong. A menu lets founders quietly choose the test they are most likely to pass, instead of the test that will teach them the truth. That pushes me more toward one clear recommended test, with transparent reasoning, rather than 2–3 options at the same level.
So the flow could become:
Idea → Free alternatives / saturation check → Riskiest assumption → One recommended test → Predefined kill rule → Evidence → Keep / Pivot / Drop
Really appreciate this. The “structured free alternative” check feels like an important missing piece.
For me the signal that'd make me kill an idea isn't lack of interest, it's lack of willingness to act — compliments and even sign-ups are cheap, someone doing something inconvenient (paying, switching tools, coming back unprompted) is the real tell. I've been in a similar spot with a free tool site this month: it got rejected twice for being too thin, and the fix wasn't cosmetic, it meant going back and making every individual page actually worth visiting. That felt like a legitimate 'double down' signal precisely because it required real, unglamorous work rather than a quick tweak.
On one recommendation vs. 2-3 ranked options: I'd trust one clear recommendation more, if Needly shows its reasoning. A ranked list without visible reasoning just hands the decision-paralysis back to me.
For me the signal that'd make me kill an idea isn't lack of interest, it's lack of willingness to act — compliments and even sign-ups are cheap, someone doing something inconvenient (paying, switching tools, coming back unprompted) is the real tell. I've been in a similar spot with a free tool site this month: it got rejected twice for being too thin, and the fix wasn't cosmetic, it meant going back and making every individual page actually worth visiting. That felt like a legitimate 'double down' signal precisely because it required real, unglamorous work rather than a quick tweak.
On one recommendation vs. 2-3 ranked options: I'd trust one clear recommendation more, if Needly shows its reasoning. A ranked list without visible reasoning just hands the decision-paralysis back to me.
I commented on a different post of yours, and I think this new set up is a lot better, the extra detail helps for sure. Though I immediately noticed something odd. Before it ranked "customer feedback intelligence" as 80-90 opportunity score, but now it ranks it as 47. And both customer clarity and competitive wedge use incorrect info about who the target audience and competition is. Then I tried it with just "feedback", and the score and reasoning seemed better. After that I tried a more specific "A workspace that turns messy feedback into insights and actions" and it seemed even more off than the first one. Not sure what could be causing this, but might be worth looking into.
Thanks a lot for testing it again, this is really helpful.
You’re right, that kind of inconsistency is a real problem. If similar inputs produce very different scores or incorrect assumptions about the target customer and competition, the recommendation becomes hard to trust.
I think the issue may be that Needly is currently trying to infer too much from the idea text alone. For something like “customer feedback intelligence,” the product needs to clarify who the target customer is, what type of feedback is being analyzed, what workflow it replaces, and who the real competitors are before scoring it.
This is probably a sign that the flow needs a clarification step before the report. Instead of immediately generating a score, Needly should ask a few quick questions when the input is ambiguous, like:
Who is the target customer?
What current workaround are they using?
What feedback source are you focusing on?
What would make this meaningfully different from existing tools?
I’ll look into this because consistency is critical. The score should not swing too much just because the same idea is phrased slightly differently, and the report should clearly show what assumptions it made.
Really appreciate you pointing this out, this is exactly the kind of feedback I need before building more automation.
Hey @amonyne, love the contrarian take. But I worry this hits a "Validator’s Trilemma":
Customer Mismatch: Pros have their own frameworks; newbies seek confirmation bias, not falsification. The segment willing to pay to "avoid failure" is likely too thin.
Attribution Problem: It’s hard to monetize "losses that didn’t happen." Founders rarely attribute saved time to a tool.
Meta-Paradox: You can’t validate the validator. One missed unicorn kills trust.
As a standalone SaaS, this might be a pain point not worth solving. Consider pivoting to VCs/Accelerators (they pay to reduce bad bets), workflow plugins (copilot vs. judge), or cohorts (sell education, not answers).
Suggestion: Don't automate yet. Run 20 paid concierge tests first. If they won't pay for manual reports, you’ve just successfully validated that the business model needs to pivot. 🙌
Thanks a lot, this is one of the most useful critiques I’ve received so far.
I agree with the trilemma. The standalone SaaS angle may be risky if experienced founders already have their own frameworks, while beginners mainly want confirmation instead of falsification. The attribution problem is also real: “time saved” is valuable, but hard to prove and hard to monetize if the founder does not clearly feel the avoided cost.
I also agree that Needly should not position itself as a judge that predicts winners. That would be fragile. I’m trying to move it more toward a validation workflow that helps founders define assumptions, set kill criteria, run tests, and stay honest with the evidence.
Your suggestion about not automating yet is probably the right next step. I’m going to focus on manual concierge validation reports before building more product. The real test is whether founders will pay for the manual version first. If they won’t pay for a human-made report that helps them test or kill an idea, then automating it probably does not make sense yet.
The VC / accelerator angle is interesting too, because they may feel the cost of bad bets more directly than individual founders. I’ll keep that in mind as a possible segment if the founder SaaS angle proves too thin.
Really appreciate the thoughtful pushback. This gives me a much clearer next validation step: run paid concierge tests before building more.
The signal I've come to trust most is proven-elsewhere-at-real-cost: has someone independently paid real money for something structurally similar, not "would you pay" but an actual receipt somewhere. We ran a filter recently for a side project (proven / low-variance / decoupled / uses-existing-asset / genuinely agent-buildable) and the single biggest killer of "obviously good" ideas was the PROVEN test, most of the hype numbers we found traced back to course-sellers, not independent evidence. Waitlists and compliments both failed for the same reason: they cost the responder nothing. Willingness-to-pay is the closest thing to real, but only if you actually ask for the card, not just the yes. Curious whether Needly's "test" step forces an actual payment or commitment step, or stays hypothetical, that's usually where validation tools quietly go soft.
Thanks, this is a really sharp point.
I agree that “would you pay?” is much weaker than actual proof that someone has already paid for something similar. Needly should not treat hypothetical willingness-to-pay as strong validation. It should look for real-cost evidence: receipts, paid alternatives, subscriptions, preorders, deposits, paid pilots, or any existing workaround that already costs money, time, or effort.
I also like the “proven elsewhere at real cost” idea. That could become a core evidence category in Needly: before recommending a test, it should ask whether the target customer already spends money or serious effort solving this problem elsewhere. If not, the burden of proof should be much higher.
On the test step, I think you’re right: this is where validation tools can go soft. Needly should push founders toward a real commitment step whenever possible, not just another survey or opinion. Depending on the idea, that could mean asking for a small deposit, a paid preorder, a signed pilot, a scheduled follow-up, a workflow walkthrough, or switching from their current workaround.
So the test should not be “do people like this?” It should be: “will people spend money, time, reputation, or effort on this now?”
That feels like a much stronger standard for the MVP. Really appreciate this, it helps make the validation loop more honest.
Following behavior beats stated preference, in my experience. I was building an app that turns social posts (Instagram DMs, TikToks, YouTube videos) into saved map places, and the signal that actually mattered wasn't "would you use this" interviews — it was whether a beta tester, unprompted, forwarded a real link from their own phone during the first demo call, before I asked them to. That single self-initiated action told me more than a dozen structured interviews did.
For your ranking: unprompted repeat usage > paying a real (not hypothetical) amount > referral/introduction behavior > waitlist signups. Waitlists are basically a free option on curiosity, so out of the signals you listed I'd treat them as the weakest.
On 1 test vs 2-3 ranked options: I'd lean toward one clearly recommended test with a visible "why this one" rationale, and keep alternatives collapsed/optional. Founders in validation-panic mode tend to make worse calls when given more choices at that stage — decision paralysis is a real failure mode here.
Thanks a lot, this is a really strong example.
I really like the idea that the best signal is not what people say they would do, but what they do without being pushed. A beta tester forwarding a real link during the first demo call is exactly the kind of self-initiated behavior that feels much more valuable than a positive interview answer.
Your signal ranking also makes a lot of sense:
unprompted repeat usage > real payment > referral behavior > waitlist signups.
That is useful because it makes the validation score less dependent on weak intent signals. A waitlist should probably be treated as curiosity unless it is connected to stronger behavior, like payment intent, a follow-up action, or repeated usage.
On the test UX, I think you’re right. The safest structure might be one clearly recommended test at the top, with a visible “why this one” explanation, and alternatives collapsed below. That keeps the result simple while still showing that Needly considered the tradeoffs.
So instead of giving founders more choices when they are already uncertain, Needly should reduce the decision to: “This is the riskiest assumption. This is the test to run first. Here is why this test is the best next move.”
Really appreciate the detail here. This helps a lot with shaping the result page.
amonyne — the “not another AI idea generator” line is the right contrarian bet. Weakest assumption → one-week test → keep / pivot / drop is a loop founders say they want and almost never run with discipline.
The 30-second result page framing is sharp too: riskiest assumption, what to test this week, what result means each decision.
When you’ve killed an idea yourself, what signal actually made you trust the drop — cold outreach silence, a failed landing page, or something messier?
Thanks a lot, that framing is exactly what I’m trying to lean into.
For me, the signal that usually makes me trust a “drop” decision is not just one failed metric in isolation. Cold outreach silence or a weak landing page can mean the idea is bad, but it can also mean the positioning, audience, or distribution was wrong.
The messier but stronger signal is when the same pattern repeats across different attempts: people understand the problem, sometimes even say it is interesting, but they do not take any concrete next step. They do not ask to try it, they do not reply with urgency, they do not agree to a follow-up, and they would not change their current workaround.
That behavior gap is what I find most convincing: the problem sounds real in conversation, but it is not painful enough to make people act.
That is what I want Needly to capture. Not “one test failed, kill the idea”, but “you defined the rule before testing, you tried to get real behavior, and the evidence still shows no urgency or commitment.”
So the recommendation should be less about predicting success and more about showing when the signals are too weak to justify building more.
Nice Framing tho bro
Thanks bro, appreciate it.
I’m trying to make the positioning as clear as possible: Needly is not here to generate more startup ideas, but to help founders test the riskiest assumption before wasting months building.
Still refining the clarity, so any specific feedback is welcome.
It's great concept
Thanks a lot, I really appreciate it.
I’m trying to make Needly more than just an AI idea tool: the goal is to help founders identify the riskiest assumption, run a small validation test, and decide whether to keep, pivot, or drop the idea before building too much.
Would love to hear what part of the concept feels most useful to you.
Love the framing — “stay honest before you build too much” is the real product, not another idea generator.
Signal I’d trust to kill: polite interest + zero willingness to schedule a test or put down a small deposit. Waitlists and “cool idea” comments burned me before.
Signal to double down: someone describes the pain unprompted, asks when they can use it, or introduces me to someone else with the same problem.
On the UX question: I’d prefer 2–3 tests ranked by speed vs reliability, with one “do this first” highlighted. A single recommendation feels tidy, but founders get suspicious if there’s no tradeoff shown.
Happy to hear how the 30-second result page lands with first users — that’s the make-or-break.
Thanks a lot, this is really helpful.
I like the way you framed it: “stay honest before you build too much” might actually be the clearest description of the product. That’s exactly what I want Needly to become, not another idea generator.
I also agree with your signal examples. Polite interest with zero action should probably be treated as a weak or even negative signal. If someone says “cool idea” but won’t schedule a test, pay a small deposit, try a prototype, or take any concrete next step, that tells you a lot.
On the other side, the strongest signals seem to be behavioral: someone describes the pain without being pushed, asks when they can use it, or introduces you to another person with the same problem. Those are much harder to fake than compliments or waitlist signups.
Your UX suggestion also makes sense. I’m leaning toward showing 2–3 ranked tests, but with one clearly highlighted as “do this first.” That way founders see the tradeoff between speed and reliability, without getting stuck in decision paralysis.
And yes, I agree the 30-second result page is probably the make-or-break. If a founder can’t immediately understand the riskiest assumption, the test to run, and the decision rule, then Needly is not clear enough yet.
Really appreciate the thoughtful feedback.
Your app is confusing make it clear
Thanks for the honest feedback. That’s useful to hear.
I’m trying to make Needly clearer as a startup validation tool, not an AI idea generator.
The simple version should be:
“Enter your startup idea → Needly finds the riskiest assumption → gives you a one-week test → helps you decide Keep, Pivot, or Drop.”
I’ll work on making that flow more obvious on the landing page and in the result screen. If there was one part that felt most confusing to you — the homepage, the score, or the validation report — I’d be curious to know.
Thanks again, this helps.
I would trust 2 to 3 ranked tests more than one recommendation, because the right validation test depends heavily on distribution access.
For me, the strongest kill signal is not a bad survey result. It is when the target user agrees the pain is real, but will not take any costly action this week: pay, switch tools, install something, introduce a friend, or let you watch them try the workflow.
Thanks, that’s a very good point. I hadn’t thought enough about how much the right validation test depends on distribution access.
A founder with direct access to target users should probably run a very different test from someone who only has a landing page, an audience, or cold outreach. So maybe Needly should not always force one universal test. A better approach could be to show one primary recommended test, but also 2–3 ranked alternatives based on the founder’s available distribution channels, with clear reasoning for why each test was ranked that way.
I also really like your definition of a strong kill signal. A bad survey result is not enough on its own, but if the target user agrees the pain is real and still refuses to take any costly action this week, that says a lot.
Needly should probably treat “costly action” as a core validation signal: paying, switching tools, installing something, introducing someone, agreeing to a follow-up, or letting the founder observe the workflow. Those actions reveal much more than positive feedback.
So the result could focus less on “do people like the idea?” and more on “will people change behavior or spend effort now?” That feels like a much stronger validation loop. Thanks a lot, this is very helpful.
The strongest kill signal I've seen is when users agree the problem is real but won't change their current workaround to use your solution. They say "yes, this is painful" but their behavior doesn't match. Willingness to pay is the ultimate validation - not just interest, but actual skin in the game.
I'd lean toward one clear recommended test with transparent reasoning shown. A ranked list without the why just creates decision paralysis. Founders need to feel like they understand why test A matters more than test B, not just trust an AI recommendation. That transparency builds confidence in the decision.
Thanks a lot, that’s a really strong point.
I agree that verbal interest is not enough. Someone saying “yes, this is painful” does not mean much if they keep using their current workaround and do not take any real action. That kind of behavior gap should probably be treated as one of the strongest kill signals in Needly.
I also agree that willingness to pay is one of the clearest validation signals, because it shows real commitment instead of just interest. Needly should probably separate weak signals like compliments or generic interest from stronger signals like payment intent, preorders, follow-up actions, or users switching away from their current workaround.
On the test format, I think one clear recommended test makes the most sense for the main result. But it should not be a black-box recommendation. Needly should explain why this test was chosen, what assumption it tests, and why it matters more than the alternatives.
So the result could show one primary test first, then a short explanation like: “This test was chosen because it directly measures whether users are willing to change behavior or pay, which is the riskiest assumption behind the idea.”
Really appreciate this. It helps make the validation loop much more focused on behavior, not just opinions.
I love the concept. While a startup will be successful or not is very hard to judge I look forward trying your software.
Thanks a lot, I really appreciate it.
I agree, predicting whether a startup will succeed is extremely hard, and I don’t want Needly to pretend it can know that with certainty.
The goal is more practical: help founders identify the weakest assumption, run a small test before building too much, and make a clearer keep, pivot, or drop decision based on real signals.
I’d be happy to have you try it. If you have a startup idea you’re currently thinking about, I can manually run the Needly process on it and send you a simple validation report in exchange for honest feedback.
Hi @amonyne - Can you run this in your tool:
I’ve built an AI application that predicts how well emails, SMS, WhatsApp messages, and push notifications are likely to perform before they’re sent, tailored to different customer personas and grounded in real user engagement patterns.
It also has built-in compliance checks, so you can catch potential regulatory or policy issues before launching a campaign.
Quick Needly report — based only on what you shared, so treat this as a test plan, not a verdict.
Riskiest assumption: marketing teams will trust a prediction/compliance score enough to change a live campaign workflow, share real campaign material, and eventually pay. The pain may be real, but “interesting AI analysis” is not yet proof of adoption.
Best 7-day test: contact 10 lifecycle/CRM marketers who are about to send a campaign. Offer to analyse one real draft manually, including the compliance check, before they send it. Ask them to bring the actual copy and target context to a 20-minute session.
Pre-commit the rule:
Keep going: at least 3 of 10 target people share a real upcoming campaign, and at least 1 asks for a paid pilot or agrees to test it on their next send.
Pivot: people want compliance but ignore performance prediction, or the opposite — narrow the product to the part that creates action.
Inconclusive: the right people did not see or understand the offer.
Drop/pause: 10 clearly relevant people see it, but nobody shares a real draft or takes a next step.
The strongest evidence here is not a survey. It is a marketer trusting you with a real campaign before it is sent. If you run this test, I’d love to hear the result — it is exactly the kind of real validation loop I’m trying to build Needly around.
The strongest kill signal for me is when people agree the problem is real but won't change their current workaround for it. I run a small tools site, and the features people said they wanted in feedback almost never matched what they actually kept coming back to use. On the test count: I'd lean toward one clear recommended test, but let people see why it was picked over the alternatives - a ranked list without reasoning just becomes another thing to second-guess.
That’s a really useful point. I like the distinction between people agreeing that a problem exists and people actually changing their behavior because of it.
I think that could become one of the strongest kill signals in Needly: if users recognize the pain but keep their current workaround and don’t take any concrete action, the problem probably isn’t urgent enough yet.
Your example about feature feedback is also helpful. What people say they want and what they actually come back to use are often very different, so Needly should probably focus more on behavioral signals than verbal feedback alone.
On the test count, I agree. One clear recommended test feels stronger for the main result, as long as Needly explains why it chose that test over the alternatives. The founder should not just see “do this test,” but also understand why this is the fastest or most reliable way to test the weakest assumption.
So the flow could be: one recommended test first, then optional alternatives with the reasoning behind each. That keeps the result simple without making it feel like another black-box recommendation. Thanks, this is very helpful.
The recommendation matters less than the rule behind it. I'd have founders set the kill threshold before the one-week test, like ten interviews and at least three people asking to try or pay. Then show the raw evidence, source links, and the exact rule that triggered keep, pivot, or drop. That makes Needly useful as a guard against founders changing the meaning of success after weak results.
That makes a lot of sense. I like the idea that the recommendation should be based on a rule the founder commits to before running the test, not on how they feel after seeing the results.
That could make Needly much more useful as a guardrail against moving the goalposts. Before the one-week test, the founder would define the kill threshold, for example: “Interview 10 target users and get at least 3 people asking to try it, pay, or take a concrete follow-up action.” Then Needly would show the raw evidence, the source links, and the exact rule that triggered Keep, Pivot, or Drop.
So instead of just saying “Needly recommends pivoting,” the report would say: “You set a success threshold of 3 strong signals out of 10 interviews. You got 1. Based on your own pre-defined rule, this idea should be paused or changed.”
I think that’s a much stronger direction because it makes the product less about giving an AI opinion and more about helping founders stay honest with their own validation criteria. Thanks, this is really helpful.
The interesting challenge is that validation advice itself has a trust problem.
What would convince founders that Needly's recommendation is reliable enough to change their behavior, rather than becoming another AI-generated opinion they agree with but ignore?
Hi Aryan,
I think we’ve exchanged before about Needly, if I’m not mistaken.
That’s a great point. I agree that validation advice itself has a trust problem. Needly can’t rely on “AI confidence” alone, because founders would probably ignore it if it feels like just another AI-generated opinion.
I think the recommendation needs to be trustworthy because it is tied to evidence and behavior, not just generated reasoning. So I’m thinking Needly should show exactly why it recommends Keep, Pivot, or Drop: the weakest assumption, the signals behind the score, the test result, and the decision criteria defined before the test.
For example, instead of saying “this idea looks weak,” Needly should say something like: “Your riskiest assumption was that students feel enough urgency to use this weekly. You tested 15 target users, only 1 agreed to a follow-up, and nobody showed payment intent. Based on the criteria you set before the test, this should be paused or changed.”
So the goal is not to make founders blindly trust Needly. It’s to make the reasoning transparent enough, and grounded enough in real signals, that the recommendation feels difficult to ignore.
Thanks again, this is a really useful challenge.
Appreciate the context.
Would be good to continue the conversation as you explore how founders respond to this approach.
What's the best email to reach you on?
I’m especially interested in founders who already have an idea but are unsure whether it’s worth building. If you share the idea, I can manually run the Needly process and send back a simple validation report with the weakest assumption, a one-week test, and keep/pivot/drop criteria.