Voca – AI project manager that runs in the background

Hacker News

We kept running into this across teams. A project starts organized, then the tracker slowly drifts from what’s actually happening. Most PM tools assume someone will keep them updated. In practice, that’s where things fall apart. Decisions stay in Slack. A blocker gets mentioned and never written down. A PR sits open in GitHub. Linear says things are on track, but something isn’t. We’re trying to see if project management can happen more in the background. Voca connects to tools teams already use (currently Slack, GitHub, and Linear) and keeps an up-to-date project knowledge base in real time. People can query it, and set up “skills” and automations. Once set, it just runs in the background. Still early. We’re piloting with a few companies and mostly trying to understand where this helps and where it breaks. https://www.tryvoca.ai/ Happy to answer questions or hear how teams here handle this today.

Visit product View on Hacker NewsFeb 28, 2026

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

83%83% 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

48%48% 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

48%48% 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

46%46% 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

20%20% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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