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This is how online (and real) democracy works in India

Hacker News

This is how online (and real) democracy works in India

Check this: http://hackerstreet.in/item?id=13431 Incase they take down the post, this: http://imgur.com/dj4uu If you didn't know HackerStreet India is HackerNews wannabe for India. The issue is on HackerStreet India, I have been now and then raising my voice against arbitrary down votes for disagreement, editing of submission titles by editors http://hackerstreet.in/item?id=13218 and communication by some members via backchannels on what I should post or not to post (since I have good Karma) Today I received a threat email from one of the moderators asking me plainly to keep quiet because they were running it much before I was a member and that they will "hell" ban me if I continue such "violations" and challenging me to start a new community like HackerStreet. This is after I posted an Ask question on How to fight spam which the moderator said was off-topic and I countered him as you will see in the disccusion. I really wanted to show you guys in America and rest of the World how democracy in India works with this example. When you go to vote, you will be told by Thugs whom to vote. If you raise a voice against the mafia with deep political connections, you will be threatened at your door for your life. And if you don't play along with seniors, powerfuls and others, whatever your business may be, you will be outcast and made to repent!

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Launch Intel predictions

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, 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
43%43% 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 HuntUnlikely to reach the leaderboard · Strong signals: new, email, plain · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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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