Tr

Treatings - OkCupid for Networking

Hacker News

Treatings - OkCupid for Networking

http://www.reddit.com/r/startups/comments/1pp71i/my_first_web_app_treatings_okcupid_for_networking/ My best friend and I disliked our jobs and wanted a non-awkward way to reach out to people whose work interested us. We finally quit our jobs, moved into bunkbeds (http://instagram.com/p/WOPgf-rcFB/), and learned to code in order to build a community of people open to meeting strangers whose work interests them, over coffee. We're now talking to companies who will be featuring their employees as "ambassadors" offering coffee meetings ("treatings") to individuals interested in working at their company. https://treatings.co/activity https://treatings.co/search We think job sites suck and that networking/job seeking should work like online dating. Would love peoples' feedback, and an upvote!

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Product HuntOn track for Day 1 leaderboard · Strong signals: activity, code, open · Missing: mac, agents, macos
73%73% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
46%46% 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
40%40% 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
21%21% 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.

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