Project ideas from Hacker News discussions.

Capital One to acquire Brex for $5.15B

📝 Discussion Summary (Click to expand)

Based on the Hacker News discussion about Capital One's acquisition of Brex, the four most prevalent themes are:

1. Liquidation Preference and its Financial Impact

Many users discussed how liquidation preferences—specifically for late-stage investors—likely dictated the payout structure, often at the expense of founders and employees.

"Series C gets $80 million for their preference. Plus 30% of the remaining $20 million. Total: $86 million... Founders get $0. Employees get $0. The company sold for $100 million." — MarkusAllen

2. Employee Financial Losses (Options vs. RSUs)

There was extensive debate regarding the financial outcome for employees, contrasting those with common stock options (likely wiped out by underwater valuations) versus those with RSUs.

"Employees who joined in the last 5 years if they got options are fucked. If they have RSUs then they will take a fraction of their equity." — blindriver

"Brex has been around for a long time, so employees will have been issued stock options with vastly different exercise prices. Early employees' options will have value, but more recent options are likely underwater." — rahimnathwani

3. Fintech Valuations Resetting Post-ZIRP

Several comments attributed the massive valuation drop ($12B peak to $5.15B sale) to the broader market correction following the end of the Zero Interest-Rate Policy (ZIRP).

"Fintech exuberance was a symptom of zirp... Zirp and exuberance is over at this point in the credit super cycle. AI doesn't help those fundamentals." — toomuchtodo

"All of these SaaS and Fintech startups from ZIRP were so overvalued." — Ancalagon

4. Capital One’s Strategic Aggression

Users analyzed the acquisition as a calculated, strategic move by Capital One to acquire a customer base and infrastructure, particularly noting Brex's difficult position after shedding its SMB segment.

"I assume if you put in 100 mn at a 12 bn valuation in the last round, you're either getting 100 back at 1x pref or you're screwing over the common even more?" — htrp

"Capital One is paying a fair price for the customer base and infra imho to add to their business customer portfolio." — toomuchtodo


🚀 Project Ideas

Cap Table Forecaster

Summary

  • A SaaS tool that simulates the equity distribution for employees in early to mid-stage startups, factoring in complex liquidation preferences and multiple funding rounds.
  • It provides a realistic estimate of the potential payout for a specific role or grant under various exit scenarios (acquisition or IPO), demystifying the opaque cap table.

Details

Key Value
Target Audience Early to mid-stage startup employees evaluating job offers.
Core Feature Interactive waterfall model visualization with adjustable inputs for liquidation preference multiples (e.g., 1x, 2x, participating) and round specifics.
Tech Stack Python (NumPy/Pandas for financial modeling), React (D3.js for visualizations), Next.js.
Difficulty Medium
Monetization Revenue-ready: Freemium SaaS subscription (Basic free tier for single scenarios, Pro tier at $15/month for unlimited modeling and sharing).

Notes

  • HN commenters frequently debate "paper valuations" vs. "real payouts," quoting users like MarkusAllen and jt2190 who explain liquidation preferences. This tool would provide the concrete math to validate or challenge their assumptions.
  • High practical utility in job negotiations and employee education.

Cap Table Forecaster

Summary

  • A SaaS tool that simulates the equity distribution for employees in early to mid-stage startups, factoring in complex liquidation preferences and multiple funding rounds.
  • It provides a realistic estimate of the potential payout for a specific role or grant under various exit scenarios (acquisition or IPO), demystifying the opaque cap table.

Details

Key Value
Target Audience Early to mid-stage startup employees evaluating job offers.
Core Feature Interactive waterfall model visualization with adjustable inputs for liquidation preference multiples (e.g., 1x, 2x, participating) and round specifics.
Tech Stack Python (NumPy/Pandas for financial modeling), React (D3.js for visualizations), Next.js.
Difficulty Medium
Monetization Revenue-ready: Freemium SaaS subscription (Basic free tier for single scenarios, Pro tier at $15/month for unlimited modeling and sharing).

Notes

  • HN commenters frequently debate "paper valuations" vs. "real payouts," quoting users like MarkusAllen and jt2190 who explain liquidation preferences. This tool would provide the concrete math to validate or challenge their assumptions.
  • High practical utility in job negotiations and employee education.

Equity Position Simulator

Summary

  • A platform that models the specific impact of dilution and liquidation preferences on a user's personal equity position over time.
  • It allows employees to input their specific grant details (type, strike price, vesting schedule) and simulate how a new funding round or exit event affects their personal net worth.

Details

Key Value
Target Audience Employees at venture-backed startups holding options or RSUs.
Core Feature "What-if" scenario planner for funding rounds and exits; personalized equity dashboard with "true value" estimation.
Tech Stack TypeScript, SvelteKit, D3.js, PostgreSQL.
Difficulty High
Monetization Revenue-ready: Annual subscription ($50-100/year) for detailed historical tracking and multi-company modeling.

Notes

  • Addresses the confusion mentioned by tyre regarding 409a valuations and how they differ from preferred stock valuations.
  • Directly tackles the "why did my equity get wiped out" pain point detailed in the discussion by providing transparency.

Debt/Fundraising Tracker for Startups

Summary

  • A financial dashboard tool specifically designed for founders and finance teams to track the impact of debt and non-standard liquidation preferences on their cap table and potential exit outcomes.
  • Unlike generic accounting software, it focuses on equity waterfalls and scenario planning for M&A events.

Details

Key Value
Target Audience Startup CFOs, founders, and VC analysts.
Core Feature Automated cap table modeling that incorporates liquidation preference hierarchies (senior vs. junior) and debt servicing impact.
Tech Stack Python (financial modeling libraries), React, AWS Lambda.
Difficulty High
Monetization Revenue-ready: Enterprise SaaS pricing (Startups: $500/mo, VCs: Custom pricing for portfolio tracking).

Notes

  • Responds to the complex financial engineering described by singron regarding Brex's underwater rounds and liquidation preferences.
  • Solves the problem of "we just don't know without more details" by giving stakeholders a tool to visualize the breakdown.

Exit Outcome Calculator

Summary

  • A simple, privacy-focused web tool for employees to estimate their after-tax liquidity from a startup exit.
  • Users input their grant details and potential sale price; the tool calculates the gross and net proceeds based on estimated liquidation waterfalls, avoiding the need to share sensitive cap table data with third parties.

Details

Key Value
Target Audience General employees at startups facing a potential acquisition.
Core Feature Client-side calculations (no data sent to servers); presets for common funding structures (e.g., "Series B startup with 1x non-participating preference").
Tech Stack React (Pure client-side JS), Tailwind CSS.
Difficulty Low
Monetization Hobby: Ad-supported or completely free with a donation link.

Notes

  • Captures the sentiment of users like blindriver and anonymousmars who are frustrated by the lack of clarity on what employees actually receive in an acquisition.
  • Utility is high in moments of uncertainty (e.g., rumors of an acquisition or "down round" news).

Anti-Dilution & Vesting Tracker

Summary

  • A mobile app that helps startup employees track their vesting schedule and estimates the real value of their equity based on changing 409a valuations and anti-dilution clauses.
  • It provides alerts and explanations when a company raises a new round at a lower valuation, explaining the "weighted average" anti-dilution impact.

Details

Key Value
Target Audience Tech employees with ISOs/NSOs.
Core Feature Grant tracking with real-time valuation data (via API); educational modules on complex equity terms like "full ratchet" vs. "weighted average."
Tech Stack React Native (iOS/Android), Node.js backend.
Difficulty Medium
Monetization Revenue-ready: Premium features for tax projection ($5/month) or a one-time purchase for advanced analytics ($20).

Notes

  • Addresses the frustration expressed by rahimnathwani and SilverElfin regarding option expiration and the difficulty of understanding equity value over time.
  • Simplifies the "extraction hierarchy" narrative by giving individual employees a concrete tool to track their own position.

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