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Lambda ERP – Open-source ERP you can run through chat

Hacker News

Lambda ERP – Open-source ERP you can run through chat

Hi HN, I built Lambda ERP, an open-source ERP prototype where chat is the primary interface. It handles sales/purchase flows, invoices, payments, inventory, double-entry accounting, reports, and chat-generated analytics. There’s a live demo in the README with 3 years of simulated data, plus a Docker Compose setup if you want to run it locally. It is not production-ready yet; I’m looking for feedback on the architecture, the chat-first workflow, and whether this direction makes sense for small teams that can’t afford traditional ERP implementation projects.

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Actual performance

5points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
44%44% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
32%32% 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: plus, interface · Missing: platform, intuitive, reviews
26%26% 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
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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