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Techendo - A Tech Show

Hacker News

Techendo - A Tech Show

Hi Everyone, I've started a tech show called Techendo. It's just some startup guys from YC/Elsewhere that will be talking about things going on in the industry. It will be shot every other week and try to be as entertaining as possible while talking about tech and startup life. I'd love to spotlight startups/projects, have guests on the show, and shoot some skits. It's still a work in progress, so if you want to help out or just give feedback, it would be great to have any help I can get. Also, if you have topics you want us to talk about let me know. Thanks for your help HN. Check out our first episode here: Techendo Episode 1 - Secret of the Droin http://www.youtube.com/watch?v=9_JPD96XOPI

Visit product View on Hacker NewsMar 8, 2013

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

78%78% 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.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

59%59% 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 · Missing: mobile apps, ios, personal

23%23% 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

20%20% 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

10%10% 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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