FoodFreebie. Get/Sponsor free food for meetups, tech and other talks

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Hey all! FoodFreebie connects those that want free food for tech meetups, usergroups, lunch & learns, hackathons and more -- with those wanting to sponsor the food. Sponsors can be anyone but are typically recruiters, startups, creators and others. In exchange, sponsors have the opportunity to share a promo message at the event. I'm a developer, and get tons of inbound request from recruiters. Most dev friends tell me they experience the same. But, it seems to happen in my email/text in ways that always feels a little clumsy and cold. Because free food is awesome, I'd more readily trade a few mins of attention to get hooked up. I thought about andrew stuart's old freepizza board and figured there could be a way to help connect sponsors and hosts. It feels like a fun experiment. I've prompted several recruiters & have seen some interest so I created a list of sponsors who are offering free food for tech talks, meetups, & hackathons. If you'd like to be involved as a sponsor or organizer, drop your email at foodfreebie.xyz or email me at contact@foodfreebie.xyz

Visit product View on Hacker NewsOct 21, 2022

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

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Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

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

42%42% 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

34%34% 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: host · Missing: plus, platform, intuitive

26%26% 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

13%13% 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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