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Startup conclave,Where are you going to launch your startups?

Hacker News

Startup conclave,Where are you going to launch your startups?

For every startups , Launching there product at the right place, right time in to right audience is important . If you are ready with a product which is ready to demo. Do with the right people who are the pioneers in the field and get their advices.And the same time give the beta version to the customers who are going to use.Get their feedback and iterate the product. Track everything. Each piece of information that you get is vital. Announce with all media with press meets. Don't forget about Facebook,Twitter and other social media. Make it big. Host a Launch party. Invite all the above and throw a party to them. If you can't do all the above. Go to www.startupconcalve.org.in/2016

Visit product View on Hacker NewsNov 20, 2015

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% 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

41%41% 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

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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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