I Was Picking the Wrong SaaS Tools for Two Years. Here's the Mistake I Finally Figured Out.
Let me tell you something embarrassing.
I've been a cofounder for about two years now. And in those two years, I've paid for tools that were too expensive, too complex, and built for a company three times my size. I've signed up for platforms that took a week to set up before I even sent my first email. I've handed over credit card details for "industry-leading" software that my 4-person team used exactly twice.
The worst part? I kept making the same mistake. Different tools. Same outcome.
I thought I was just bad at picking software. Turns out I wasn't the problem. The way I was searching for software was the problem.
Here's How I Was Doing It (And Maybe You Are Too)
Every time I needed a new tool, a CRM, a project management app, an analytics platform, I'd do the same thing:
Go to Product Hunt. Search the category. Sort by "most popular" or "top of the week." Pick from the top 5.
Or I'd go to G2. Filter by rating. Read reviews. Pick the 4.8-star option.
Or I'd google "best CRM for startups" and click whatever came up first.
Every single time, I ended up with the same result: a tool that looked great on paper, had thousands of reviews from happy customers, and was completely wrong for where I was.
And here's what took me embarrassingly long to understand: those tools weren't bad. They were built for a different company. Not mine.
The CRM with 4.8 stars on G2? The reviews were mostly from 50-person sales teams with dedicated RevOps
What's Actually Broken About Tool Directories:
Product Hunt shows you what's trending. G2 shows you what's most reviewed. Capterra shows you what paid for placement.
None of them show you what's built for where you actually are.
The "best CRM globally" is built for mid-market teams with 200 people and an implementation partner. That's who's leaving reviews. That's who's upvoting on Product Hunt.
If you're a two-person team trying to replace manual processes one by one, you're a rounding error in their pricing model and nobody tells you this until you've paid for six months of something you barely touch.
The Thread That Changed How I Think About This
I found this post on Indie Hackers from Ayush, the founder of SoftRankings, who said something I couldn't stop thinking about:
"Pipedrive at pre-seed is perfect. Pipedrive at Series A is a nightmare."
Same tool. Different stage. Completely different outcome.
What I Found When I Tried SoftRankings
SoftRankings organizes tools by company stage: Solo/Indie, Seed, Series A, Enterprise instead of global popularity or review count.
I went in skeptical. "Built for founders" usually means a slightly cheaper enterprise product with worse support.
What I found was different. Instead of "top CRM globally," it showed me what tools were being used by founders at my actual stage. Tools I'd never seen trending on Product Hunt because they don't have viral launch budgets. They're just quietly doing the job for small teams who can't afford to troubleshoot.
The scoring breaks tools down by things that actually matter early on: How complex is it? Is the pricing founder-friendly? How long before you get real value? Does it work for 3 people or does it need a team of 20 to function?
That last frame will this work for a team my size is the question I should've been asking from day one. I wasn't. None of the directories I was using were asking it either.
What I Do Differently Now
I pick my stage first. Not the category. Not the price. The stage.
That one filter eliminates 70% of the noise. I'm no longer benchmarking my 4-person startup against tools reviewed by 200-person companies.
I'm comparing myself against founders who are actually in my situation.
Then I look at complexity second. Can I get value in 30 minutes? Or does it require a full week of setup and a data migration?
You're welcome in advance.
This is interesting. I've been talking to founders recently, and one thing I've noticed is that people rarely choose the "wrong" tool—they choose the wrong tool for the stage they're in. That's a very different problem.
I really like how you put that. It matches what I have seen too: most “bad” decisions are actually good tools used at the wrong stage, with the wrong constraints around them. That shift in thinking is exactly what I was trying to capture in the post.
You nailed the part most people miss: the tools aren't bad, they're built for a different company. The 4.8 stars are real, just real for a 50-person RevOps team, not your 4-person one. Review count measures popularity, not fit, and those two drift apart the earlier you are.
"Pick your stage first, not the category" is the whole thesis in one line. Honestly better than how I usually explain it.
Thanks for writing this. Made my week.
Great insight - really useful site too!
Really appreciate that, glad the site feels useful in practice. What stage are you at right now and which tool decision has been the hardest lately?
The stage-first lens is especially useful for AI infrastructure tools. A two-person team usually does not need the same setup as a 200-person company with RevOps, security review, and a platform team. They need to know: can I start quickly, can I cap spend, and can I explain where the bill came from?
For AI APIs, the “wrong tool for your stage” mistake often shows up as buying complexity before you have usage patterns. Early on, I would rather have a simple model catalog, per-key limits, clear routing, fallback visibility, and a ledger that says which workflow/model/balance bucket paid for each request.
That is the stage-fit idea behind what we are building with Tokens Forge. The product should help small teams access models cheaply, but it should also stay understandable before they grow into a heavier enterprise stack.
This is such a sharp take for AI infra. “Can I cap spend and explain the bill” feels like the real requirement for early teams. What is one usage pattern from Tokens Forge’s users that surprised you so far?
AI infra has variable costs, so "can I cap spend and explain where it came from" is the whole game early on.
Buying complexity before you have usage patterns is the trap. You need simple first: model catalog, per-key limits, clear routing, a ledger. Most teams see the total bill but can't attribute it, and unattributable cost is how you end up scared to ship.
That's exactly what Tokens Forge solves.
Hey there, do you mind sharing your coding stack for right now? It would be really helpful, thank you!
Happy to share. Right now it is Next.js + React on the frontend, Node.js + TypeScript + Prisma + PostgreSQL on the backend, all in Docker, with email via Nodemailer and Handlebars. What are you building and where are you stuck tool‑wise?
What landed for me is the question, "will this work for a team my size?" That beats ratings almost every time. Early teams should optimize for time to first value and failure recovery, not breadth. A tool you can start using in 20 minutes usually beats a category leader that needs a week of setup. I built DictaFlow for a similar reason. For a small team, a tool only earns its place if it removes a daily bottleneck right away, not after an onboarding project.
The stage filter is a real upgrade over 'top rated,' but the trap underneath is the annual contract and the migration cost, not the sticker price. At 4 people your needs change faster than a yearly renewal, so early on I optimize for reversibility over fit: month to month, no migration to get started, something I can rip out in an afternoon. The wrong tool you can leave cheaply costs far less than the 'right' one you are locked into.
This is the sharper version of the point. Stage fit gets you the right starting tool, but reversibility is what protects you when your stage changes six months later, which at 4 people it always does.
The lock-in trap is sneaky because it never shows up in the comparison. Everyone benchmarks price and features. Nobody benchmarks "how painful is this to rip out," and that's the cost that actually hurts.
The wrong tool you can leave in an afternoon beats the right one you're married to for a year. Might steal that framing.
This maps onto infra choices too, not just SaaS tools. I almost deployed my product on Vercel by default — it's the obvious Next.js host, the reviews are glowing — until I actually checked whether my architecture fit it. My checker needs to run as an always-on process; Vercel's serverless model would never let that fire on its own, no matter which plan I paid for. The reviews weren't wrong, I just wasn't the audience they were written for.
Same lesson as your CRM example: "best" is a function of fit, not popularity. Picking the trending default and checking the constraints afterward cost me time I didn't need to lose.
The Vercel example is such a good illustration. “Best host for Next.js” is meaningless if your architecture pattern is different. Have you found a hosting setup that now feels truly aligned with how your checker runs?
The stage-first filter is the right move but the real insight is deeper. Most founders pick tools based on what looks good on a comparison chart. The ones who pick right pick based on what their team will actually use at their current size. Complexity kills adoption faster than price.
Matter of choosing
even i feel the same
see mine
The stage-first reframe is right, but I'd push on where it breaks: the hard part was never knowing your own stage — you knew you were 4 people the whole time. the hard part is that a tool's real stage isn't on its pricing page. everyone markets down. the enterprise CRM has a "startup plan," the 20-person-minimum tool has a solo tier, and they all say "built for teams like yours." you only find out it's actually built for a 50-person RevOps team after you're three weeks into setup.
So a directory that labels tools by stage is useful, but it's inheriting the same trust problem one level up — now you're trusting someone else's read of what stage a tool fits, instead of the vendor's. better, but not solved.
The filter that's never lied to me is the one greentimetracker and ori said above: does this replace something I'm doing by hand today? if I'm not already doing the work manually, the tool is speculative overhead no matter how perfectly stage-matched it is. "am I in pain right now" is self-verifying in a way "is this built for my stage" isn't — you can't misjudge your own current pain, but you can absolutely misjudge a tool's true stage.
genuinely good post though — the "you're a rounding error in their pricing model" line is the truest thing here
You are right that “am I in pain right now” is a very honest filter. I still think stage labels help you avoid obviously wrong fits, but they definitely do not solve the trust problem alone. What is one painful tool you bought speculatively that you would avoid today with your “manual first” rule?
Felt this hard. We burned three months on a "top-rated" API management platform that was clearly built for enterprise teams with dedicated DevOps. The stage filter idea is something I wish existed when we were picking our data pipeline tools — would've saved us from a very painful migration at exactly the wrong time.
Ouch, that API management story sounds familiar. Data pipelines are exactly where stage mismatch hurts. If you were picking again today, what is the first question you would ask to avoid that migration trap?
Tool fit changes with stage. Early stage = speed. Series A = scale.
Series B = efficiency. Most founders pick once and never revisit.
The founders who win switch tools as their constraint changes.
Love this breakdown. Speed, then scale, then efficiency feels spot on. Do you have a tool you consciously replaced at Series A or B because your main constraint changed?
This hits close to home. I built a YouTube analytics SaaS and made the exact same mistake early on — I was looking at what tools the big creators were using instead of what actually made sense for solo creators just starting out. The stage-first framing is exactly right. A tool that works for a 500k subscriber channel with a team is completely wrong for someone posting their first 20 videos alone. Ended up building my own thing partly because nothing I found was sized for where my target users actually were.
The YouTube angle is such a good example. A tool that fits a 500k subscriber team can crush someone at 20 videos. What did you end up building differently once you focused on solo creators’ actual stage?
This really resonates. I see the exact same thing in SEO and marketing tools, not just CRMs.
Everyone picks the tool with the most reviews, but the reviews come from companies at a totally different stage. A tool that's perfect for a 50-person marketing team is often overkill for a solo founder, and nobody tells you that upfront.
The "pick your stage first" framing is the right one. I've started doing the same with AI-visibility tools lately, since getting cited by ChatGPT matters more now, but most tools in that space are built for enterprise teams, not small businesses figuring it out. Stage first, complexity second. That reframe is going to stick with me.
Completely agree on SEO and AI‑visibility tools. The review base is almost always skewed. If you had to pick one “stage first, complexity second” rule for solo founders choosing SEO tools today, what would it be?
It's actually good though to know what's best for you at your current stage. Most tools are good but wasn't built with startups in mind. Thanks for the article
Exactly, most tools are good, just not designed around startup constraints. What is one area where you still feel the biggest mismatch between your stage and the tools you see marketed to you?
What clicked for me reading this: enterprise tools have docs written for an implementation partner, not for you. The setup flow assumes a dedicated admin, the templates assume a team of 20, the support assumes a contract. You feel dumb using it, but you're not the audience. Stage-fit tools onboard you assuming you're alone and busy, which is the only honest assumption for an early team.
Yes, enterprise docs do feel like they are written for an implementation partner, not for you. Stage‑fit onboarding that assumes you are alone and busy is exactly what I wish more tools aimed for. Have you seen any product do this really well?
Spent way too long in the ‘most popular = best fit’ trap too. The stage framing is the actual unlock a tool that works for a 200-person team actively hurts a 4 person one. Wish more founders thought about this earlier.
Same trap here, “most popular” turned into “most painful” more than once for me. If you had to give one rule of thumb to a new four person team choosing their first CRM, what would it be?
Hey random question. So I have a market place in my new app and im using stripe as the company to help protect payment between people. But my users aren’t able to add their bank account and withdraw money from their market place account. All I keep getting back is something about setting up a stripe connect account but when I follow the steps I get led to a sanbox test page.
The Stripe Connect sandbox issue is usually because you haven’t switched to live mode yet you need to activate your account fully on the Stripe dashboard before real bank connections work. Happy to help you figure it out. Are you on X, Telegram or Discord? Easier to walk through it there.
It's just a matter of knowing how to choose and take advantage of everything it has to offer. This tool seems very useful and solves a problem for many; thank you for the post, it's an eye-opener.
Really glad it felt useful and eye opening. If you look at your current tools, is there one where you think you are not yet taking full advantage of what it offers at your stage?
Switching the mental framework from "What is the best tool?" to "What is the right tool for my specific headcount?" is a absolute game changer for early-stage teams. Thanks for sharing.
Exactly this. "Best" is meaningless without context. Best for who, at what size, with what budget? Stage gives you that context instantly. Glad it landed.
This resonates as a solo founder.. I've made the exact mistake of benchmarking myself against tools built for teams 50x my size. What's interesting to me is that SoftRankings basically proves your point by being a directory: the value isn't 'more tools,' it's tools sliced by a dimension that actually matches the user. I've been going deep on exactly this,, turning raw data into niche directories/research DBs that answer one specific question well instead of being broadly popular. The stage-filter insight is a great example of how much signal you unlock just by picking the right axis to organize around.
GOT IT!
Funny enough, AI has made this even easier to fall into. You can build twice as fast, but you can also build the wrong thing twice as fast. Enjoyed reading the article though, great insights.
The "best for who" framing is exactly right, and it applies beyond just tooling.
Early-stage founders often end up with a graveyard of forgotten subscriptions precisely because of this pattern: you sign up for something that looked right at the time, it doesn't fit, you stop using it, but the billing keeps going. The average founder has 3-5 tools they're paying for that they haven't opened in months.
This is actually what I built SubRadar for — it scans Gmail to surface subscriptions you're being charged for and reminds you before each renewal. The discovery moment is almost always "I completely forgot I was paying for that." The tools that don't fit your stage are the ones that get forgotten, not canceled.
The stage-first filter you describe would also help here: if you're evaluating tools for your headcount and stage, you're less likely to sign up for something that becomes a ghost subscription 4 months later.
The stage-fit framing is useful, but I think the other filter is "what workflow am I already doing manually?" If the answer is "none yet," the tool is probably speculative overhead no matter how good it looks. Early on, boring tools that replace an existing pain beat powerful tools that create a new process to maintain.
The stage filter is right, but I'd add a sharper one: only buy a tool that replaces work you're doing manually right now, not one that adds a capability you think you'll need later. Most of the overspending I've seen (and done myself) comes from buying for the company you hope to be in 18 months. The real cost isn't the subscription, it's rebuilding your process around a tool you outgrow.
This really resonates.
One thing I'd add is that early-stage founders often underestimate the cost of complexity. A tool that saves 5 hours a month isn't worth it if it takes 2 weeks to implement and maintain.
For small teams, the best tool is usually the one that solves today's problem with the least friction not the one with the longest feature list.
"most popular" just means most reviewed by people who aren't you. stage fit is the only filter that matters.
The stage-first framing is exactly right. I made the same mistake early on — picked tools based on G2 ratings that were written by teams 10x my size. The reviews were accurate, just not for me.
The complexity question is underrated too. For a solo founder, "can I get value in 30 minutes" is more important than feature count. A tool that takes a week to set up has a hidden cost nobody puts in the pricing page.
One thing I'd add: the switching cost compounds. Every tool you adopt that's wrong for your stage becomes harder to leave because your data is in it. Picking boring, simple tools early keeps your options open.
The shift from asking "what's the best tool?" to "what's the right tool for a company at my stage?" really stood out.
A lot of bad software decisions aren't caused by choosing poor products—they come from copying companies operating under completely different constraints.
"Copying companies operating under completely different constraints"
that's the most precise way I've heard this problem described. You're not making a bad decision, you're just solving for the wrong company. Appreciate you putting words to it.
Glad that resonated.
I had one more thought that's probably easier to explain over email than in a thread.
What's the best email to reach you on?