I open-sourced my HN comment/reply alerts service

Hacker News

2 months ago I launched a service that sends email alerts when you get a new comment/reply on Hacker News. I've only been able to acquire 6 users since releasing it (°ー°〃) I tried promoting it here (duuh), Reddit, and LinkedIn. Optimized it for SEO (ranking 3rd on my target keywords). All with limited success. So I've decided to open-source it! Links to... - frontend: https://github.com/mihailthebuilder/hackernewsalerts-fronten... - backend: https://github.com/mihailthebuilder/hackernewsalerts-backend I'm still using it for myself, since there's no service that sends alerts when you get a new comment in one of your posts. But I won't invest any more time in it. Welcome any questions/comments!

Visit product View on Hacker NewsSep 17, 2024

Share card

Actual performance

13points

7comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, email · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month, users · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder, users · Missing: plus, platform, intuitive

31%31% 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

16%16% 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.

Correct prediction on native model

Similar products

Bug in reply to comment on HN.52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bug in reply to comment on HN.

Hacker News1

CommentCraft13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI LinkedIn Comment & Reply Generator

Indie Hackerscommitment-side-project

InstaReply55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Instagram Comment Reply Assistant, IG Reply generator

Indie Hackerscommitment-full-time

OpIn – Comment Anywhere33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpIn – Comment Anywhere

Hacker News2

TL;DR for every comment on HN44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TL;DR for every comment on HN

Hacker News1

WalleAgent28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Reply & Comment Generator for Social Media

Indie Hackers1$500/moai

HN Reply Notifier60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Reply Notifier

Hacker News2

Discuzz – open-source Comment System58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discuzz – open-source Comment System

Hacker News4

Reply Orchard48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn comment chaos into a five-minute task.

Indie Hackerscommitment-full-time

A serverless comment engine, alternative comment service to Disqus55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A serverless comment engine, alternative comment service to Disqus

Hacker News1

Browse all products Analyze your launch