I built a web app where you can see what tools indiehackers are using

Hacker News

Hi everyone! We all agree that the dev stack to build a project does not matter that much, it's usually best to build with the tools we already know and feel comfortable with. But when it comes to payment tools, design, email marketing, SEO, hosting, there's a lot we can learn by seeing what others are using. I built RamenTools for this purpose, and you can already see what tools are being used by 120+ indiehackers. RamenTools can also recommend you what tools to use with a specific tool, based on other makers' usage. Whether you are an indie maker, designer, marketer or any type of digital creator, feel free to create your dashboard and share what tools you use. I apologize in advance that you can only sign up with X/Twitter, since it's been a project shared only within Twitter Tech circles until now. I surely will add other ways to sign up if there is a demand for it, following your requests. I hope you'll enjoy using the website, you may find there an indiehacker you know or a tool you're curious about. Cheers!

Visit product View on Hacker NewsMar 27, 2024

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Actual performance

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Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

69%69% 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: email, using · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

52%52% 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: host · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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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