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Free Hero Mesh: first version ready for public testing is now available

Hacker News

Free Hero Mesh: first version ready for public testing is now available

The first version of Free Hero Mesh which is ready for public testing is now available. It is far from being complete, although it is believed to be the minimum needed that someone can try it now. It is available in a Fossil repository; there are two sources: * Main: http://zzo38computer.org/fossil/heromesh.ui * Mirror: http://chiselapp.com/user/zzo38/repository/freeheromesh (The mirror is not updated as often as the main repository; also, you cannot post bug reports on the mirror, although once changes are pushed to the mirror, any bug reports posted on the main repository will also appear on the mirror, too.) (A git-fast-export file is available upon request.) This software requires SDL1 (or a compatibility layer, although I have not tested the compatibility layer), SQLite, and a C compiler that supports C89 with GNU extensions. If you wish to modify the instruction set or resource set, then Node.js is also required in order to recompile them; if you are not modifying it then this is not required. Please post questions, comments, and complaints on the NNTP (preferred) or on this Hacker News item. Bug reports may be posted either on here, or on the NNTP, or on the Fossil repository.

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Actual performance

2points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
72%72% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, computer, new · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, io · Missing: https docs, excited, just released
48%48% 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 · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% 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
13%13% 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

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