Comntr, a browser extension to leave comments on any website

Hacker News

It's a simple extension that can add comments to SHA1 of the current tab URL. Comments are stored on a $5/mo VPS in the /<sha1(url)>/<sha1(comment)=text form. See https://github.com/comntr/webext/ . I I thought it would be cool to have reddit-like discussions for any URL, so here we go. For now the extension is available only on Firefox: https://addons.mozilla.org/en-US/firefox/addon/comntr/ . The reason I haven't published its Chrome version is that the Chrome Web Store now requires a phone number and a credit card, which is the same thing as asking for ID. The extension can be installed manually, though: this is how I test it. P.S. I know that giving a random extension access to tab URLs is a questionable idea, but unfortunately I can't write in manifest.json that the extension only needs SHA1 of the URL. And you can always compute the SHA1 yourself and use https://comntr.github.io#<sha1> :)

Visit product View on Hacker NewsJun 25, 2019

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Actual performance

6points

1comments

Did not reach leaderboard

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

38%38% 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 · Strong signals: way · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

15%15% 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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