A new error message from HN ...

Hacker News

Checking on some old material to provide some cross-referencing[1] I got this message: We've temporarily limited requests for old items. I've always taken it for granted that HN contained useful information that I'd be able to retrieve whenever I found the need, but this has brought me up short. Perhaps older discussions will eventually become unavailable. Will Google cache still have them? Will the Wayback machine still have them? How convenient will they be to find in the future. Probably this is a temporary glitch to prevent some overly enthusiastic crawler from bringing the site to a halt, but it just made me wonder. ======== [1] Many of you will know that this is an activity I still perform occasionally, although now severely curtailed as compared with how it used to be.

Visit product View on Hacker NewsJul 16, 2012

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23points

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Made the leaderboard

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

67%67% 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

63%63% 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

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

TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal

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

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

23%23% 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

14%14% 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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