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I've open-sourced my ERP SaaS, Stockor

Hacker News

I've open-sourced my ERP SaaS, Stockor

For the last several years I've been creating a ERP platform, Stockor. While I'm going to continue offering it as a SaaS, I've decided to also open-source it. I'm hopeful that by doing so it will: 1) Grow it into a Wordpress size juggernaut with a plugin for any business process under the sun. 2) Bring me interesting consulting gigs. The open-source site is at stockor.org. There's a demo up at stockor.com/demo as well. Looking forward to hearing HN's thoughts!

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% 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
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
16%16% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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