What YC Is Really Betting On: A Free Tool Deconstructing YC's Investment Logic

2026-02-25 | ProductHunt | Official Site

30-Second Quick Judgment

What is this?: Someone scraped 793 companies and 1,625 founder bios from the last 5 YC batches (W25 to W26) and created 27 interactive charts. It helps you see exactly what YC is investing in (and what they aren't), which industries are rising or falling, and what the typical founder looks like.

Is it worth it?: If you're applying to YC, researching startup trends, or just want to know what the world's most influential accelerator is thinking—it's worth a 15-minute browse. It's free, requires no registration, and is ready to use. Just remember it only covers the last 5 batches, so it's not a complete historical record.

Three Questions for You

Is this for me?

Target Users: Anyone interested in YC and the startup ecosystem—founders, VCs, tech media, and data nerds.

Are you one of them? If any of these apply, yes:

• You're considering applying to YC and want to know what projects get in.
• You're a VC or Angel looking to grasp shifting investment trends.
• You're a tech writer needing data-backed evidence for your next story.
• You're just curious about what's actually happening in Silicon Valley.

When would you use it?:

• Before a YC application → To see hot tracks and founder archetypes.
• Writing a trend report → To cite specific chart data.
• Making investment decisions → To see how YC's sector preferences are evolving.
• Pure curiosity → To spend 15 minutes learning the landscape.

Is it useful?

ROI Judgment: Extremely high. Free + No Login + 15 Minutes = Almost zero cost for a deep dive into YC trends. Don't expect a "secret formula" for getting in, but do expect a clear descriptive analysis.

Is it engaging?

The "Aha!" Moments:

• Discovering hidden patterns: Like the fact that YC funds direct competitors in the same batch, or that every partner has a specific "type." These counter-intuitive insights are highly shareable.
• High Information Density: Using NLP to find hidden themes in company descriptions and founder archetypes—it's much more than just simple pie charts.

The "Wow" Moment:

"YC funds direct competitors in the same batch." — The most surprising insight in the product description.

TechCrunch reported on this in late 2024: Data firm Deckmatch analyzed nearly 5,000 YC companies and found dozens of AI code editors passed through YC between 2022-2024—some in the same batch under the same partner. YC CEO Garry Tan himself has backed two different police bodycam startups (Flock Safety and Abel Police).

Real User Reaction:

Honestly, this product only got 2 votes and ranked #7 on PH—it barely caused a stir. There's almost no buzz on Twitter or Reddit either. This likely means: (1) It's brand new and hasn't spread, (2) The audience is very niche, or (3) PH isn't the best place for analytical tools like this.

For Independent Developers

Tech Stack

• Frontend: Likely Next.js (deployed on Vercel, using the default .vercel.app domain).
• Backend: Possibly a static site with pre-processed JSON, or Next.js API Routes.
• Data Sourcing: YC's public Algolia API (index: WaaSPublicCompanyJob_created_at_desc_production), plus scraping individual company pages for founder bios.
• Chart Libraries: 27 interactive charts, likely using Recharts, D3.js, or Chart.js.
• NLP Analysis: Clustering company descriptions to find hidden themes—likely pre-processed in Python and exported as JSON.

Data Sourcing Details

YC's directory runs on Algolia. Developer Ray Arayilakath documented the reverse-engineering process in a blog post: capture Algolia requests via Chrome DevTools, get the API key, and use the /companies/fetch endpoint with company IDs to get full data. Note: this endpoint usually requires a valid CSRF token.

Existing tools on GitHub:

• yc-oss/api — Unofficial API that auto-scrapes YC data daily via GitHub Actions.
• rayhanadev/yc-waas-api — A lightweight script for reverse-engineering the YC directory.

Open Source Status

• This project: No public repository found.
• Similar projects: yc-oss/api and corralm/yc-scraper are open-source alternatives for scraping YC data.
• Build Difficulty: Medium-low. Expect 1-2 person-weeks. The challenge isn't the scraping (the API is there), but the quality of NLP clustering and the design of the 27 charts.

Business Model

Completely free. No login, no ads, no paywall. It appears to be a personal project—likely a portfolio piece to showcase data analysis skills or a curiosity-driven labor of love.

Giant Risk

This niche has several "giants":

• YC Itself: Has an official directory, but they won't do trend analysis that "exposes" their own investment biases.
• Rebel Fund: Owns the largest database outside YC (millions of data points), but it's an internal tool.
• Extruct AI: A commercial YC intelligence platform (paid).
• YCDB: A free database with Growth Scores, but lacks NLP analysis and batch comparisons.

The moat for yc-trends isn't the data (anyone can scrape it); it's the analytical perspective and visualization design. However, this moat is shallow—anyone with data skills could replicate it.

For Product Managers

Pain Point Analysis

• The Problem: YC's public data is scattered. There was no systematic cross-batch analysis or visualization. To see how trends changed over years, you had to scrape it yourself or read fragmented articles.
• Severity: Low-frequency, "nice-to-have" demand. It's not a "can't live without it" tool, but it's very useful when you need it.

User Persona

• Core: YC applicants (seeking an edge in their strategy).
• Secondary: Early-stage VCs (tracking accelerator directions) and tech media (finding data-driven stories).
• Edge: Startup enthusiasts and data nerds.

Feature Breakdown

Competitive Landscape

Key Takeaways

1. Free + No Login = Frictionless Growth: A zero-barrier entry makes people more likely to click and share.
2. Use NLP to "Tell a Story": Don't just show bar charts; extract hidden patterns from text. This is how you differentiate an analysis tool.
3. Lead with Counter-Intuitive Hooks: "YC funds competitors" is a much better hook than "88% of startups are AI."
4. Value-Add on Public APIs: The data is public, but the perspective is the product.

For Tech Bloggers

The Founder Story

• The Creator: Identity unconfirmed, but the first-person description suggests a solo project.
• Background Guess: A triple-threat skill set: Data Engineering (scraping/NLP) + Frontend (Next.js/Charts) + VC Ecosystem knowledge.
• Motivation: Pure curiosity. "I scraped 793 startups... to find out." A classic "I wanted the answer, so I built the tool" story.

Discussion Angles

While the tool itself is niche, the patterns it reveals are gold for content:

1. "YC Funding Competitors" — TechCrunch's late 2024 deep dive confirmed this. From AI code editors to restaurant POS systems, YC's stance is: "We back founders, not ideas."
2. "Partner Archetypes" — Garry Tan backing multiple police tech companies or specific partners consistently picking AI dev tools.
3. Is YC Over-Indexed on AI? — With 88% of recent batches being AI, is this strategic focus or a bubble signal?
4. YC 2026 Spring RFS Directions — From "Cursor for PMs" to modern steel mills, YC is moving from pure SaaS into hard tech and vertical industries.

Content Suggestions

• The Deep Dive: "What is YC actually betting on? I analyzed 793 companies." Use this tool's data to write a definitive trend piece.
• Timing the Market: The YC Spring 2026 application window just closed; results come out March 13. This is peak YC traffic season.
• The Cross-Reference: Compare yc-trends data with Tomasz Tunguz’s 5-year YC analysis to validate findings.

For Early Adopters

Pricing

No paid version, no hidden features, no "pay to see the rest" traps. It's fully open.

Quick Start Guide

• Setup Time: 30 seconds.
• Learning Curve: Zero.
• Steps:
  1. Visit yc-trends.vercel.app
  2. Scroll through the 27 charts.
  3. Hover/click for details.
  4. Focus on your interest (Industries, Founders, or Partners).

Things to Watch Out For

1. Limited History: Only covers W25-W26. For a 10-year view, use YCDB.
2. NLP Black Box: The methodology isn't public, so take "hidden themes" with a grain of salt.
3. Update Frequency: It's unclear if this will auto-update for future batches.
4. No Export: You can't download the raw data for your own analysis.

For Investors

Market & Timing

• VC Data Tools: A small but fast-growing niche. While Crunchbase and PitchBook dominate, specialized YC analysis serves a high-intent audience.
• Why Now?: As AI hits 88% of YC batches, the need to differentiate between "AI wrappers" and "AI native" startups is at an all-time high.
• Strategic Shift: YC's 2026 RFS (Request for Startups) shows a move toward stablecoin finance, AI for government, and industrial manufacturing—tracking this shift is crucial for early-stage investors.

YC Investment Trends at a Glance

Rising Sectors

• AI Native: 88% of recent companies. Not just "adding AI," but companies that wouldn't exist without it.
• Cybersecurity: Driven by high enterprise spend and major acquisitions like Wiz.
• Industrial Tech: Capitalizing on the reshoring of manufacturing.
• Fintech Rebound: 100 fintech investments in 2025 (up 65% from 2024).

Cooling Sectors

• Crypto Exchanges: Significant drop since the 2014-2022 peak.
• E-commerce Platforms: Cooling down after the 2018 boom.
• Pure Consumer Apps: B2C continues to shrink as B2B now makes up 90% of batches.

Founder Archetypes

• Team Size: 2 co-founders remains the gold standard.
• Solo Founders: Dropping, now around 10%.
• Average Age: Dropped to a record low of ~25 in 2024.
• Education: Dominated by elite CS/Software Engineering backgrounds.

Conclusion

The Bottom Line: A beautifully crafted free data project that clarifies YC's recent investment patterns. Its low popularity proves that a great product still needs great marketing.

Resource Links

2026-02-25 | Trend-Tracker v7.3 | ProductHunt #7, 2 votes