Pro Feed – (Multi Tenant) Chat River for MS Teams

Hacker News

Microsoft Teams is awesome. But it can be a bit hard to not lose track over all relevant information that happens in your Tenant(s). This is why we built Pro Feed - to have one central place to see all updates from your Microsoft ecosystem. We are currently in closed beta, if you want to try it out, apply for a seat on the website. I am looking forward to your feedback! Here is a list of our planned features: - Smart Filters - slice and dice your Teams structure into aggregates that make sense to you - Smart Notifications - notify on the messages that actually matter - AI Assistant - Chat with your Message history - Catch me up - Summarize what has happened while you were on vacation - A lot more integrations: E-Mails, MS Planner tasks and a lot more are in the pipeline. - Non Microsoft Integrations - depending on user feedback.

Visit product View on Hacker NewsDec 20, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, tasks · Missing: mac, agents, macos

79%79% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

45%45% 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

37%37% 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

16%16% 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, smart · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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