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Intent, 5min scaffold for event-sourced back ends (ts,pg,temporal)

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Intent, 5min scaffold for event-sourced back ends (ts,pg,temporal)

I’ve open-sourced Intent, a TypeScript reference stack for safe, multi-tenant, event-sourced backends key bits - CQRS with framework-free domain core - Durable workflows via Temporal - PostgreSQL event store + row-level security - DevX UI to issue commands inspect events, projections, trace - CLI tooling for projection-drift, RLS lint, CI gating Built for deterministic execution and auditability. purposed in AI and/or HITL orchestration, fintech, HRIS, or anywhere you need an immutable intent ledger. Github https://github.com/geeewhy/intent Docs https://intent.heart.dev/docs/ DX panel demo https://intent.heart.dev/devx `git clone` & `npm run setup eventstore` should boot a local instance in ~5 min. Would love feedback on quick-star, DX and architectural rough edges

Visit productView on Hacker NewsJun 26, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
73%73% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
37%37% 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
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% 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
18%18% 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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