US

US visa price calculator (O-1A, O-1B, EB-1A, EB-2 NIW)

Hacker News

US visa price calculator (O-1A, O-1B, EB-1A, EB-2 NIW)

Just launched our pricing calculator. Our goal with this is to reduce unpleasant surprises as "hey, you didn't tell me about these government fees, I didn't plan for this expense", and also be 100% clear with everyone about what we charge -- so it's obvious that we don't adjust our fees based on your profile. We plan to include more visa types in this calculator, but for now it's what we have. Will appreciate any feedback. Thank you!

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Actual performance

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
60%60% 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 · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% 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
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
24%24% 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
22%22% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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