Tech Trends Data Toolkit

Hi @xingxingstudio, thanks for the thoughtful reply! To be completely transparent, I haven't actually launched a paid product yet, so I don't have "users" in the traditional sense. I am currently finishing up a strict 14-day paper-trading trial to prove the underlying data edge before I even think about distribution or pricing. However, to answer your question in the spirit of it: the pre-launch activity that has brought the highest-intent *strategic partnerships* has been the "build-in-public" journey right here on Indie Hackers, combined with direct, honest outreach to veteran founders. By sharing the raw methodology and the brutal honesty of the test (including the days we find zero edge), it actually attracted a veteran founder who is now doing an independent evaluation on my dataset. I completely agree with your realization about distribution. Building a community presence now means that when the data validates the product, I'll have a warm audience of founders and traders who already trust the methodology, rather than shouting into the void on launch day. Good luck with the Windows apps!

Thanks so much for this insight! Apologies for the delayed reply — it’s been a crazy week preparing for my Product Hunt launch this Monday. I completely agree with you. The $7B rumor is a great "proof moment," but the real business has to be recurring usefulness, not just one lucky detection. My current thinking is to position the toolkit around repeatable monitoring workflows, for example: - recruiters tracking fast-growing GitHub repos/skills - founders watching Product Hunt and Hacker News for market signals - investors monitoring SEC filings and emerging AI research - AI agents needing fresh live data instead of stale search results The next challenge is exactly what you said: turning these from one-off scrapers into dependable monitoring tools that people or agents check regularly. I really appreciate this feedback. If you were testing this, which recurring use case would you focus on first?