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Many to Many, a different kind of tech meetup (London, UK)

Hacker News

Many to Many, a different kind of tech meetup (London, UK)

We love tech events. But often the one-to-many talk format is a bit hit and miss. Sometimes you learn lots of wonderful new things, but frequently the talks are too long and of questionable quality. Watching someone go over the basics of a library/technology/etc in a real life presentation generally didn't provide a lot of value to us. Instead, we always found the best parts were in the questions and discussions at the end of each talk - except this time was often cut off in order to make room for the next talk. What we wanted was a smaller, more intimate event aimed at talking through the technology side of building startups. One didn't exist, so we decided to do something about that and created Many to Many. Many to Many is aimed at fostering group discussion instead of the traditional 'one person talks to audience' format. There are 3 discussions topics per event, each discussion leader will open with a short (5m max) introduction, before opening up to a half-hour group discussion. The idea is that everyone shares their experiences, asks questions and learns from each other. We've been running this event since last July, and have had some amazingly positive feedback from people. The event is mainly aimed at engineers interested in web/mobile startups in London, but we happily get designers and product people attending and leading discussions too! The event is free, and being a startup event, naturally pizza, beer and soft drinks are all provided :). The next event is on Thursday 20th of March, and is held near Old Street, London, UK, the leaders and discussion topics this time are: - Ollie Glass: "Turning hacks into products" - Rob Elkin "Communication between developers" - (final discussion leader TBC) If this sounds like something that interests you, please do sign up on: http://www.manytomany.co.uk/ Thanks!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, 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: exist, ide, io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
44%44% 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
21%21% 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
12%12% 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 life · 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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