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Narev – Open-Source FinOps for AI and Cloud Spend

Hacker News

Narev – Open-Source FinOps for AI and Cloud Spend

Hey HN, I've been working on unifying SaaS billing data using FOCUS 1.2 from the FinOps Foundation. Started with cloud providers (AWS, Azure, GCP) and OpenAI. Narev ingests billing data, normalizes it with FOCUS 1.2, and gives you one dashboard for everything. Self-hosted so your data stays private. Try it: docker run -d \ --name narev \ -p 8000:8000 \ -v $(pwd)/data:/app/data \ -e DEMO="true" \ ghcr.io/narevai/narev:latest Then hit http://localhost:8000 This is v0.1.0—stage, early but functional. Looking for feedback on which SaaS integrations to prioritize next, bug reports, and contributors. GitHub: https://github.com/narevai/narev

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, openai, using · Missing: mac, agents, macos
92%92% 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 NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
64%64% 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 HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
58%58% 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
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
26%26% 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
21%21% 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.

Incorrect prediction on native model

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