Rendevu – Keep up with everything your team is doing across all apps

Hacker News

Hi HN! We’re Jake and Akshay, co-founders of Rendevu ( https://rendevu.co ). In our experience, as teams grow it gets increasingly difficult for everyone to stay in the loop while also easily finding all of the information that they need to continue executing. Some teams try to solve this issue with tools like Slack, but the synchronous nature of a chat app result in members of the team often missing or losing files and information. The chat interface also does not easily support two-way interactions with your other tools. At the core, the focus of the app is this full synchronization in both directions between Rendevu and your other apps (Asana, Figma, Slack, Trello). In the feed, for example, when you post a file from Google Drive we’ll automatically bring over all discussion on the file in real-time. Conversely, when you leave a comment or reply on Rendevu, it will also be propagated back to the file. Any time you’re tagged in a comment, or assigned a Trello card, or Asana task, Rendevu will pull in a list of aggregated action items, so you can stay on top of all of your to-dos. We’re currently in a free beta for anyone that wants to try it out, and we’re looking for any and all feedback from you guys. Also let us know if there’s any specific app integration that would make Rendevu useful for you! (Please note that we currently only support logging in via G Suite, sorry for any inconvenience!) https://rendevu.co

Visit product View on Hacker NewsJul 25, 2018

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, apps · 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, google, way · Missing: mobile apps, ios, personal

44%44% 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

42%42% 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: interface · Missing: plus, platform, intuitive

30%30% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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

Incorrect prediction on native model

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