Se

Send private messages to anyone on HN

Hacker News

Send private messages to anyone on HN

https://fro.app This is an experimental app that I've been working on. I wanted to send a direct private message to someone on HN (similar to what they have on Reddit). - You create an account - You connect your HN account (by inserting a code on your HN about) - You type HN username and send a message - The message will be "received" once the other person also connects their HN account. Some built-in rules - Send up to 5 messages within 24 hour period. - If you get flagged as SPAM more than twice within 24 hour period, you won't be able to send a message for the next 24 hours. I'm sure I'll need to adjust rules as I go. But it's been pretty fun building it. And I'm sure many of you will... probably not like the idea of it. :) oh the joy of the Internet.

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Actual performance

27points
20comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% 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: user, code · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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