How to spot high-intent customers in 5 minutes, for free.

Useful framework. The part I would add is a small intent score before replying, otherwise it is easy to treat every search result as equal.

I would score a thread higher when the person has three signals at once:

1. They already tried a workaround or competitor.
2. They describe a concrete cost, like wasted time, missed revenue, confusion, or repeated manual work.
3. They ask in a way that implies a next action, not just curiosity.

For example, "best note taking app?" is weak intent. "I am tired of moving meeting notes from Zoom to Notion every day, is there a tool that does this cleanly?" is much stronger.

The query finds the room. The scoring keeps you from replying to people who are only browsing.

this is actually quite helpful and I don't know why I didn't think of it.

this resonates. one signal i find super useful for b2b saas is when someone is already cobbling together 3-4 tools and complaining about the duct tape. they basically wrote your sales pitch for you. the 5-minute thing is great, but i'd add: look at what they tried before. if it's nothing, they're tire kickers. if it's a zapier mess plus two trial accounts, that's your buyer. how do you separate the curious from the actually desperate in your filter?

Honestly "get them to try" is usually a selection problem wearing an activation costume. If you incentivize the trial itself — discounts, "just try it" — you pull people motivated by the incentive, not the product, and they bounce. What's worked better for me is making the thing they unlock something they already wanted, so finishing the step self-selects for real interest. (Building in this space right now — happy to share what I'm seeing if useful.)

This is a really useful framework. The shift from chasing people to listening to them complain about competitors is one of those obvious-in-retrospect insights most founders miss.

One thing worth adding for a multimodal note-taking app: voice input as a capture method. A lot of people abandon note-taking apps not because the app is bad, but because typing is too slow for the thought they are trying to catch. The best notes come from moments of insight, and that moment is gone by the time you open the app and start typing.

I built DictaFlow to solve exactly that. Hold a hotkey, speak the note, release, and the text appears wherever your cursor is. It works across any app, including note-taking tools. For a multimodal notes product, native voice capture could be a real differentiator from Notion, Roam, and Obsidian, which are still keyboard-first.

Are you handling voice input in your app? Curious if it is on the roadmap.

This is pure gold, Tom! Shifting from "chasing users" to "listening for active pain triggers" is the ultimate growth hack for bootstrapped founders. Google Dorks are criminally underutilized for organic lead generation.

Gregory made an excellent point in the comments about the 60-second contact moat. We use a very similar intent-listening framework at ShipMitra to find e-commerce brands frustrated with big logistics aggregators. If someone is on Reddit venting about "fake weight discrepancies" or "failed pickups," they are already 90% converted. Dropping a generic sales pitch completely kills the lead. But if you reply with a hyper-specific solution to their exact logistical or operational bottleneck, the conversion rate skyrockets.

Also, your tip about setting up Google Alerts to automate this into a dedicated Gmail folder is a massive timesaver. For a lean team, it basically acts as a free, automated inbound pipeline. Thanks for sharing these exact search strings—definitely bookmarking this!

Saved. The reframe from "chase" to "listen for intent" is the real unlock — you're not interrupting anyone, you're showing up where someone already raised their hand.
Two refinements from running this in my own niche:

Google indexes Reddit and FB groups slowly and incompletely, so the freshest (highest-intent) posts often aren't crawled yet. I pair the dork with each platform's native search sorted by "new" — the dork catches the evergreen threads, native-new catches the "posted an hour ago, wallet out" ones Google hasn't seen.
On the show-up part: leading with a genuinely useful answer, and naming the tool only when it actually fits, consistently beats "hey check out my thing." The thread itself becomes the marketing, because the next person Googling that same pain lands on your helpful reply.

Curious which channel converts best for you — my hunch is Reddit beats everything for software intent, but LinkedIn might win on willingness to pay.

This hit harder than expected. Been doing cold outreach for weeks burned a lot of time and energy on something that wasn't converting.
Tried your reddit queries this morning. Found a thread from yesterday with people asking the exact question I could help with. Left one comment.
The thing nobody tells you about distribution: "shooting blind" feels productive but isn't. First time in weeks I felt like I was actually fishing where the fish are.
Saved. Thank you.

Mechanically this is one of the cleanest acquisition channels you can build, because every result is someone who has already paid the "I'm annoyed enough to type a sentence about it" cost — that's the highest-intent signal short of a credit card. Two filters that helped me a lot on a small iOS side project (a lightweight Captio replacement): append after:2024-06-01 so you skip stale threads where the asker already settled on a tool, and add -site:reddit.com/r/SaaSDeals (or any bargain-hunting sub) so you only see people venting, not coupon hunters. The conversion gap between those two intents was big enough to fill my first 20 installs. Curious — do you reply same day in-thread, or DM the OP after a few days? I haven't found a clear winner yet.

Strong post. One thing I'd add: once you find the "wallet-out" complaint, the next bottleneck is the page you send them to.

For Mindnote, I'd test pages like:

• AI note taking for researchers drowning in papers
• alternative to Obsidian for people who want summaries fast
• meeting notes that turn into action items automatically

That is usually where qualified traffic either turns into a trial or disappears on a generic homepage.

I shared the full 7-page structure I use here if useful:
https://www.indiehackers.com/post/i-built-a-7-page-acquisition-cluster-for-a-saas-heres-the-full-structure-free-to-copy-2ea575f08a

If you want, I can sketch a mini-cluster for Mindnote for 39€.

The 5-minute framework is clever - do you find this works better for B2B or service-based businesses? Customer qualification is the hardest part of scaling.

The 5-minute qualification framework is interesting - do you find this works better for B2B or B2C? I could see it being really effective for service-based businesses.

these site: queries pull good leads but they decay fast — Googles been shrinking what it indexes from facebook groups + reddit comments since around Q1 2026. for reddit specifically, ive had better luck with pushshift-style APIs that catch posts as theyre made instead of waiting 2-7 days for google to index them. someone complaining today is way warmer than someone who complained 2 weeks ago. wallet-out window in my niche (devops/AI tooling) tends to close within 48 hours.

This works and it's been working since Google indexed forums. The trap is that everyone reading this is going to do it the same way: scrape the signal, paste a templated DM, and wonder why their reply rate is 2 percent. The signal isn't the moat. What you do in the first 60 seconds of contact is. The founders I see closing from this method don't pitch in the first message. They reply with something so specific to that person's exact complaint that it's clearly not automation. Slower, fewer touches, way better conversion.

Solid cheat sheet — the "search public group feeds via Google instead of joining them" trick is genuinely underused.
One question back at you: when you reach out to these high-intent posters, do you comment publicly in the thread or DM them? I've seen public-helpful-first convert better than cold DM, but curious what's working for you.

Thanks for sharing it! I knew about this type of info search as "Google Dorks" but I didnt expect we can use it like that! Saved!

This is actually gold.

Most founders waste time chasing users.
You figured out how to listen for intent instead.

People publicly searching for alternatives or complaining about competitors are already halfway converted.

Simple strategy. High leverage. Zero ad spend.

Really smart distribution play

Wow you are smart! This is next level.

This is a good distribution angle because you are not guessing who might care. You are finding people already showing pain, competitor frustration, or active buying intent.

But I think the stronger insight here is not just the Google search trick. It is that note-taking apps are extremely crowded, so the product needs to win on a clearer wedge than “AI notes.” High-intent discovery helps, but when those users land, the product still has to feel sharper and more ownable than another note app.

That is where I’d pressure-test the name. Mindnote is clear, but it also sits very close to the generic note-taking category. Since you are building a multimodal AI note workspace across web, Android, and iOS, the brand may need to feel broader than notes alone.

Xevoa .com would fit that direction better if the product becomes more of an AI workflow and memory layer, not just a note-taking app. The current name explains the category, but a stronger brand could make the product feel more serious before users compare it against every other AI notes tool.

If you are already pushing distribution, I’d think about this before more users, app listings, and content start locking the product into the Mindnote frame.

Same setup in healthtech. The signal we needed: when a bill we were tracking moved from committee to floor vote, specifically for anything touching data privacy or clinical software. goffer.ai monitors those bill IDs and keywords, SMS on floor votes, Gmail labels for everything else. The compliance team gets a weekly digest of everything that moved, the product team gets the SMS for floor votes only. That split routing reduced the volume enough that alerts get read instead of archived. Before that separation, everyone was getting everything and nothing was getting acted on.

One filter I would add is whether the pain already has an owner and a next step.

A lot of "looking for a tool" posts are still research. The stronger signal is when someone describes a broken workflow: who is waiting, what happens if it slips, what they already tried, and what decision they need to make next.

That turns the search from "people who might like this category" into "people whose current process is leaking time or revenue right now."

Very Informative

Mechanically what makes this work is the difference between intent capture and intent broadcast — your Google trick taps people who have already articulated the problem in their own words, which is several rungs above any ad audience. Two small extensions that helped me on a tiny indie app: (1) save the exact query strings as a starter library so you stop reinventing them each week, (2) keep a single-sentence note on what each thread taught you about phrasing, because users describe pain in language ads never replicate. The trap I fell into was scaling outreach before refining the queries — twenty bad replies feels productive but burns the well. A short reply that quotes their own words back outperforms a polished pitch every time.

This is gold. I never thought of using Google as a lead scanner for social platforms. Just tried the Reddit search trick for my own product and found active threads instantly. The Google Alerts tip to automate it is the real game changer here — setting that up right now. Thanks for sharing this!