Free AI Development Intelligence Dashboard - No Email Required

We're removing all barriers to AI development intelligence. Starting today, our complete dashboard is freely accessible—no email gate, no signup wall, no friction. Just instant access to the data that helps you make better decisions about AI coding tools.

What You Get, Completely Free

Our dashboard aggregates data from 17 sources covering 50,000+ repositories, updated weekly. Here's everything you can access right now without entering an email:

🏆 AI Coding Benchmark Leaderboard

Real-time tracking of the top AI coding tools across 5 major benchmarks:

• SWE-bench - Real-world software engineering tasks (22 tools tracked)
• BigCodeBench - Complex code generation challenges
• HumanEval - Python function synthesis benchmark
• MBPP - Mostly Basic Python Problems
• LiveCodeBench - Live coding performance metrics

See which models are winning right now: Claude 4.5 Sonnet leading at 70.6% on SWE-bench, GPT-5 at 65%, and the full competitive landscape updated weekly.

📚 Research Citation Velocity Tracker

Track which AI coding research papers are gaining momentum. Our citation velocity metrics predict production adoption 6-12 months early. Currently tracking:

• Top 5 papers by weekly citation growth
• Total citations + influential citation counts
• Publication venues and author information
• Direct links to arXiv papers

This is unique data you won't find aggregated anywhere else—we're pulling from Semantic Scholar's 200M+ paper database and calculating velocity in real-time.

📈 GitHub Adoption Trends

See which tools developers actually use in production:

• 50,000+ repositories analyzed for dependency adoption
• Star velocity tracking (which tools are growing fastest)
• Fork rates and contributor counts
• Commit frequency and release cadence

💬 Developer Sentiment Analysis

What developers are actually saying about tools across multiple platforms:

• Reddit - r/programming, r/MachineLearning, r/LocalLLaMA sentiment
• Hacker News - Story counts, comment averages, discussion quality
• Stack Overflow - Question volumes, answer rates, tag trends
• Twitter/X - Mention tracking, engagement metrics

📦 Package Ecosystem Health

🤖 AI Assistant Adoption

Real data on what developers use:

• AI context file adoption (.cursorrules, .aider, .claude, etc.)
• Distribution across GitHub repositories
• Growth trends by assistant type

🇨🇳 Chinese AI Ecosystem

DeepSeek and Qwen package adoption, HuggingFace model downloads, and marketplace presence tracking—data most Western dashboards miss.

Why We Removed the Email Gate

Simple: data should be accessible. If you're making decisions about which AI coding tool to adopt, you shouldn't have to give up your email just to see benchmark scores.

We built this platform because we wanted this data ourselves. The information was scattered across Papers with Code, GitHub, HuggingFace leaderboards, Reddit threads, and academic papers. Aggregating it took weeks of engineering work.

Now it's yours, free, forever.

The Optional Weekly Report

If you want deeper insights delivered to your inbox, we now offer an optional newsletter signup (right on the dashboard). Here's what you get:

• Benchmark movement analysis - Which tools improved, which declined, and by how much
• Citation velocity highlights - Research papers showing rapid adoption signals
• Emerging tool alerts - New tools crossing adoption thresholds
• Market shifts - Sentiment changes, funding announcements, major releases
• Exclusive analysis - Deeper dives we don't publish on the dashboard

No spam. No daily emails. Just a weekly digest of what actually matters.

What's Different From Other Dashboards

1. Multi-source aggregation
Most tools show one data source (e.g., just GitHub stars). We combine 17 sources for a complete picture.

2. Citation velocity tracking
No one else tracks research → production pipelines. We do, because it predicts market leaders 6-12 months early.

3. Cross-benchmark normalization
Comparing 65% on SWE-bench vs 85% on HumanEval is meaningless without normalization. We handle that (free tier shows raw scores, Professional tier adds normalization).

4. Velocity metrics everywhere
It's not just current scores—it's trend direction. We calculate 7-day, 30-day, and 90-day velocity for benchmarks, GitHub stars, package downloads, and citations.

5. Real production signals
Docker pulls, package manager downloads, and actual code repository adoption—not just popularity contests.

For CTOs and Engineering Leaders

If you're evaluating AI coding tools for your team, this dashboard compresses your research timeline. Instead of spending 6-12 weeks evaluating tools (which research shows is typical), you can:

1. Week 1: Review benchmark scores, GitHub adoption, and sentiment across all top tools
2. Week 2: Filter by your stack (Python/TypeScript/etc.) and use case (refactoring vs new features)
3. Week 3-4: Run pilots with the top 2-3 tools that match your criteria

The data that used to take 40-80 hours of manual research is now available in 5 minutes.

What's Coming Next

This is version 1.0 of the free dashboard. Here's what we're adding:

• Historical trend charts - See benchmark performance over time (currently showing latest scores)
• Tool comparison view - Side-by-side comparison of 2-5 tools across all metrics
• Custom alerts - Get notified when specific tools cross thresholds
• API access - Pull our data programmatically (Professional tier)
• More benchmarks - Adding FeatBench and domain-specific benchmarks

Our Commitment

The free dashboard will always be free. We won't add an email gate. We won't limit data freshness for free users beyond what's necessary to manage costs (currently 7-day delay on some datasets).

We'll make money through Professional tier subscriptions ($49/mo) for teams that need real-time data, API access, and advanced features like cross-benchmark normalization. Enterprise tier ($2,000+/mo) will serve CTOs who need decision engines, peer benchmarks, and custom research.

But the core dashboard—the one you see today—stays free.

Join 1,000+ Developers Already Using It

Since launch, we've seen developers from Google, Microsoft, Anthropic, OpenAI, and hundreds of startups using the dashboard to track AI coding tool trends. The data is helping teams make better decisions about tool adoption.

Now it's your turn.

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