Rigged.ai

"A platform that processes options sweep data with statistical analysis and generates real-time alerts so retail traders can copy-trade Wall Street institutional traders, with a built-in backtesting strategy playground."
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rigged.ai
Maker: JoeMattie
no rev. info provided

Marketing Channels

Ongoing

YouTube

Creator references YouTube videos as a resource for learning how to use the tool

Ongoing

Documentation site (docs.rigged.ai)

Separate docs site exists but was initially hard to find from the homepage; locked behind sign-up flow

Secondary

Hacker News

Show HN thread surfaced UX friction points and generated potential customer interest

Growth Levers

  • Add a visible pricing page to the homepage to reduce friction for potential customers
  • Make documentation accessible without requiring sign-up to build trust with prospects
  • Showcase backtesting results and strategy playground outputs publicly as social proof
  • Create tutorial content demonstrating real trade examples based on alerts
  • Leverage the strategy playground as a freemium lead-generation tool
  • Address the sign-up wall feedback — let prospects explore before committing

First Customer Strategy

The product targets retail traders who want to follow institutional options flow. The creator built the frontend while the team handles statistical processing. Customer acquisition relies on YouTube content, documentation, and community threads, though the thread revealed significant friction in the sign-up and documentation discovery process.

Pricing Insight

No pricing page visible on the homepage. A commenter explicitly asked about the pricing model and received no response in the thread. This lack of transparent pricing is a notable conversion barrier.

New Market Opportunities

  • Automated trading bot integration The strategy playground already lets users test bot parameters, suggesting a natural extension to live automated trading
  • Backtesting-as-a-service A potential customer specifically asked about backtesting capabilities, indicating demand for verifiable strategy validation

Key Takeaways

  • Missing pricing pages and sign-up walls for documentation are conversion killers — prospects need to evaluate before committing
  • Backtesting tools and verifiable performance data are essential for building trust in financial products
  • Even technically impressive products fail to convert when basic UX and information architecture are neglected
  • YouTube tutorials and documentation are necessary but must be easily discoverable from the main product
  • Potential customers in fintech want to see proof of results before engaging, making public backtests a critical marketing asset
  • Community feedback (HN threads) can surface critical UX issues that internal teams may overlook

Sentiment Analysis

2 Neu

Notable Quotes

"Do you have a tutorial on how this tool can be used? Any backtest on how such alerts worked? Asking as a potential customer? — connectsnk"
"The docs seem to be locked behind sign-up. The only option I see is 'Get Started' which leads to sign up. :/ — windowshopping"
"I didn't see a pricing page on the homepage, what's your pricing model? — sunnybeetroot"

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