Data-driven web service for filmmakers only

Hacker News

http://beta.filmquotra.com/register Would love your feedback for our open beta of filmquotra: an online software which acts as your personal studio business analyst while helping you create your custom business plan for your film project. filmquotra provides you immediate, real value based on actual, proprietary film financial data. If you are a film student or first-time filmmaker, filmquotra provides step-by-step guidance on creating a film financing "business model." Even a seasoned professional can run quick film comparables and film ultimates. And for the select industry expert, we provide a way to monetize industry knowledge in a controlled, organized way. It is free to use during our beta phase.

Visit product View on Hacker NewsNov 28, 2012

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

81%81% 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.

TrustMRRFits verified-revenue profile · Strong signals: personal, way, para · Missing: mobile apps, ios, entrepreneurs

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, open · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

35%35% 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

26%26% 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

12%12% 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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