Go-Pugleaf – Usenet NNTP to Web Gateway – Written in Go

Hacker News

https://pugleaf.net In Memory of Retro Guy Thomas "Thom" Miller (Retro Guy) - Creator and Lead Developer passed away April 26, 2025 Thom was the visionary behind RockSolid Light, transforming NewsPortal into a newsgroup platform. This project continues in his honor, maintaining and modernizing his exceptional work for future generations of newsgroup enthusiasts. His sites are offline now: | novabbs.com | novabbs.org | novalink.us | i2pn2.org | rocksolidbbs.com RIP Retro Guy! The internet never forgets, and neither will we! https://pugleaf.net

Visit product View on Hacker NewsSep 19, 2025

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Actual performance

4points

1comments

Did not reach leaderboard

Launch Intel predictions

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

63%63% 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.

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

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

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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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