Cadseer. a parametric solid modeling CAD desktop application

Hacker News

Cadseer is in the same genre as: solidworks, inventor, freecad etc... Cadseer is alpha software, so lots of missing features, bugs, crashes, file incompatibilities etc... About me: I spent 15 years designing stamping dies on a high end cad system. During that time, I also developed and marketed extensions/plugins toward that cad system. Through that experience, I came disillusioned with 'vendor lock-in' and proprietary software in general. I basically retired, took the vow of poverty and moved all my computing to open source. I have since, and continue to, try and improve the open source cad environment.

Visit product View on Hacker NewsMar 31, 2023

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Actual performance

102points

32comments

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, open · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

72%72% 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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% 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

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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