A

A server that removes a byte with every request

Hacker News

A server that removes a byte with every request

I was inspired by a comment[1] here on HN to write a static web server that slowly degrades the content it serves byte by byte as it is requested. Every time someone requests a path from the server, a byte is removed from the next request to that path (barring 404s etc.) It resets every hour. The nature of the Ritual is that I can't put this behind a cache, so it's possible that the cheap AWS server I used will get hugged to death if it becomes at all popular here. Sorry. [1]: https://news.ycombinator.com/item?id=33568061

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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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