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I built a tool that finds people asking for what you sell

Hacker News

I built a tool that finds people asking for what you sell

I do cybersecurity consulting, so I do outreach every single day, and as you probably know, cold LinkedIn outreach usually has a very low response rate. I've also started launching SaaS products, and I know people running Etsy shops and e-commerce stores and getting users, even for free SaaS, is hard. Meanwhile, people publicly ask for products and services every day on social media. That's why I launched ReachFast: 1. You enter your SaaS website, Etsy shop, App Store /Google Play page, Fiverr profile, even a Skool community link 2.No settings, no keywords, no linking your social accounts, ReachFast reads your website, understands what you sell and builds a detailed profile of your target customer 3. Then it looks for Reddit, X, LinkedIn and Facebook public posts that could be a customer asking for your product or service 4. Finally an AI judging round keeps only the warm leads likely to convert. Out of 4,000+ posts read, that can mean 350+ for a consumer product, or just 15 for a niche SaaS, but each one is someone actually asking 5. Initial scan is on the past 15 days but it also runs daily scans (on the past 24 hours posts) to find new fresh leads There is no automatic outreach, on purpose. The focus is to find quality leads, you decide how to reach them, usually by replying in the thread as yourself or DMs. From there you can also manage your pipeline by moving your posts into dead, reached or closed. For v2 I'm planning to work on a learning loop, once there's enough pipeline data, so the algorithm could learn which kinds of posts actually convert for each product and adjust what it keeps. Also, currently, niche B2B services, like my own pentesting firm, produce few leads but that's the nature of the business I guess, fewer asks, worth more each. Coverage is also uneven based on the nature of the product/service but again it makes sense. Cost is also variable based on the website (currently up to 8$ per initial scan on some Etsy shops) but again, focus is quality of leads, I will try to optimise later! Happy to answer anything and get your feedback!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
96%96% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, users · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, 000 · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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