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Pontoon, one to one meeting tracker

Hacker News

Pontoon, one to one meeting tracker

Hey HN, Very longtime lurker who finally has something to share! Over the last couple of years I've found it pretty difficult to organise one to ones with my colleagues, and when I do get some time with them, the conversation often feels a little unstructured and not as valuable as it could be. I built Pontoon to try and solve these problems, and maximise the quality of the one to one time I have. I've only just launched (I literally pressed the button yesterday!), and so there's only a few simple features so far: - Meeting planner - Actions - Video meetings - Calendar sync There's plenty more in the pipeline but I wanted to open Pontoon up to everyone and start getting some feedback from real users. You can sign up for a 30 day trial with no card details, and if you're enjoying it just ping me an email at rhys@meetpontoon.com telling me you're from HN and I'll add some credit to your account. Thanks a lot

Visit productView on Hacker NewsJul 22, 2022
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Actual performance

2points
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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, pipe · Missing: https docs, excited, just released
49%49% 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 · Strong signals: video, users · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · 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
24%24% 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
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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