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A discussion platform for developers

Hacker News

A discussion platform for developers

We developers have always wanted a place to ask questions freely. While Stack Overflow has been the go-to platform for years, it’s clear that developers need a change. That’s why I was inspired to create Rapport, a free and community-driven platform designed for developers to discuss and share ideas. On Rapport, you can ask your questions, and discussions are capped to 15 minutes. This setup encourages active participation—when a discussion starts, a notification system alerts users who clicked the notification button. If a topic relates with many, they'll upvote it, drawing even more participants and leading to lots of answers. It’s really that simple, and I’d love to know what you all think!

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: answers, users, way · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
12%12% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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