Birdeye Data Build in Public Sprint 1 Results

The first sprint of the Birdeye Data Build in Public Competition has officially closed. Over one week, 46 developers submitted tools, bots, dashboards, and agents – all powered by the Birdeye Data API.

Every submission was evaluated equally across our four core metrics:

Metric	What We Measured
Technical Depth (10 pts)	API integration quality, architecture, algorithmic sophistication, resilience
Community Support (10 pts)	X (Twitter) engagement — views, likes, reposts, and comments
Product Utility (10 pts)	Does the tool solve a real problem? Would someone actually use it?
Presentation (10 pts)	UI/UX polish, GitHub documentation, demo quality, visual design

The maximum possible score is 40 points. Here are the results.

Sprint 1 Winners

1st Place: Smart Bird by Idris Ahmed | 35.8 / 40

Prize: $500 USDC + 2-Month Birdeye Data Premium Plus Plan ($1,000 total value)

Metric	Score
Technical Depth	9.0
Community Support	8.8
Product Utility	9.5
Presentation	8.5

Smart Bird is a 4-layer Telegram signal intelligence bot that chains 8 distinct Birdeye endpoints into a graduated pipeline:

• Layer 1 — Discovery: Pulls new_listing and token_trending to identify early candidates.
• Layer 2 — Verification: Cross-references token_security, token_overview, and wallet/token_list to validate smart money signals.
• Layer 3 — Stress Testing: Uses ohlcv and txs/token for liquidity and volume analysis.
• Layer 4 — Delivery: Fires scored alerts (0-100) across 4 independent Telegram channels with deduplication and performance tracking at 1h/6h/24h intervals.

Architecture is clean: async Python 3.11 with aiohttp, TTL caching per endpoint, SQLite for state, Dockerfile + docker-compose for deployment on Railway. 33 commits showing iterative development. The bot is live and publicly accessible at @smartbirrd_bot.

Why 1st Place: Smart Bird dominated across all four metrics. It’s the only submission that combined deep multi-endpoint API integration (9.0 Tech) with massive community engagement (8.8 Social), genuine trader utility (9.5 Utility), and solid production polish (8.5 Presentation). No other project came close to this level of consistency across every pillar.

X Post: https://x.com/Savage27z/status/2045662932466356594
Demo: t.me/smartbirrd_bot

2nd Place: Chonkrythmic by Chonky Solana | 32.0 / 40

Prize: 2-Month Birdeye Data Premium Plus Plan ($500 value)

Metric	Score
Technical Depth	6.8
Community Support	9.7
Product Utility	6.0
Presentation	9.5

Chonkrythmic is the most creative submission we received — and the community agreed. It maps real-time Birdeye trade data from the txs/token endpoint into a physics-based pendulum system with pentatonic audio. Trade size controls the pendulum’s swing amplitude, and each swing plays a note from a musical scale. The result: on-chain activity rendered as generative music and animation.

Under the hood: request caching with rate-limit backoff, txHash deduplication to prevent duplicate notes, and a server-side Vercel API route to keep the Birdeye key secure. It only uses 1 endpoint, but uses it in a way nobody else thought of.

Why 2nd Place: Chonkrythmic scored the highest social engagement (9.7) and near-perfect presentation (9.5) in the entire sprint. The creative concept resonated massively with the community. While its utility score is lower (sonifying trades is art, not a trading tool), the sheer innovation and community response pushed it into the top 3.

X Post: https://x.com/chonkycom/status/2045351275387130359
Demo: chonkrythmic.vercel.app

3rd Place: ZeroSniper by Windu Adi Prabowo | 31.8 / 40

Prize: 1-Month Birdeye Data Premium Plus Plan ($250 value)

Metric	Score
Technical Depth	8.5
Community Support	4.8
Product Utility	8.5
Presentation	10.0

ZeroSniper is the most polished full-stack build in the sprint. Built on a Cloudflare Worker v5.7 → SSE → React architecture with WebSocket integration to pump.fun for real-time new token streaming. 5 Birdeye endpoints fired in parallel via Promise.all.

The standout: Windu built custom SVG candlestick charts and a native SVG Risk Ring (0-100 rug score) from scratch, no TradingView, no Chart.js, no external charting library. Pure frontend engineering. A production cron keepalive eliminates cold starts. The project has 224 commits, by far the highest in the sprint, showing sustained, iterative development since April 18.

Why 3rd Place: ZeroSniper earned a perfect 10/10 on Presentation — the only submission to do so. The custom SVG visualizations, elite architecture, and 224-commit history demonstrate genuine engineering depth. Its social score (4.8) kept it from climbing higher, but the technical and presentation quality is undeniable.

X Post: https://x.com/ZerobuildLab/status/2047208226262073672
Demo: zerosniper.pages.dev

Top 10 — Honorable Mentions

Sprint 1 produced far more quality than just 3 winners. The following 7 builders all scored 25+ out of 40 and shipped tools that deserve recognition.

#4. RugBurn by Victor Nwachukwu | 30.5 / 40

Tech	Social	Utility	Presentation
8.3	3.7	10.0	8.5

The highest Utility score in the entire sprint. RugBurn is a live, production rug-pull scanner at rugburn.io with actual users, not a hackathon prototype.

It exhaustively mines 2 Birdeye endpoints (token_overview extracting 7 price horizons, new_listing for discovery) with a multi-provider failover chain (Birdeye → DexScreener). The discovery pipeline — shallow scan → full scan → risk score — is real product architecture.

X Post: https://x.com/rugburn_tm/status/2045573342023868523 Demo: rugburn.io

#5. Birdeye Radar by Ubong Joshua | 29.5 / 40

Tech	Social	Utility	Presentation
8.0	5.5	8.0	8.0

The broadest API usage in the sprint — 10 distinct Birdeye endpoints organized into Discovery, Intelligence, and Monitoring layers. Dual-interface product: Discord bot + web dashboard. A 3-layer TTL caching system (global, bot, poller) manages rate limits intelligently, with active tokens getting lower TTLs than dormant ones.

X Post: https://x.com/dreamgotwings/status/2047954501764624758 Demo: birdeyeradar.site

#6. AlphaScope by Mustapha Fadhlullah | 29.4 / 40

Tech	Social	Utility	Presentation
6.2	9.7	6.5	7.0

AlphaScope combines token radar functionality with risk scoring across 6 Birdeye endpoints. What stands out is the community response — Mustapha’s X post pulled 1,199 views, 53 likes, 30 reposts, and 24 comments, earning a 9.7 social score tied for the highest in the sprint. The project demonstrates strong community-building instincts alongside solid technical execution.

X Post: https://x.com/Mustaph26704946/status/2047448363570798715 Demo: Vercel deployment

#7. Syra Agent by Ikhwanul Husna | 29.3 / 40

Tech	Social	Utility	Presentation
7.0	6.8	7.5	8.0

An ambitious multi-ecosystem integration combining Birdeye data with Jupiter, Nansen, and Rise. Syra Agent distinguishes itself with a dedicated documentation site (docs.syraa.fun) and an interactive playground — a level of presentation effort that most submissions didn’t attempt. Strong social engagement (6.8) rounds out a well-balanced submission.

X Post: https://x.com/syra_agent/status/2047923922872782935
Demo: agent.syraa.fun

#8. TrenchScope by Kleggy | 27.4 / 40

Tech	Social	Utility	Presentation
7.5	4.9	7.5	7.5

Clean engineering with a focus on developer observability. TrenchScope includes an in-product Usage Dashboard that shows real-time Birdeye API request telemetry — a feature unique to this submission. Uses the meme/list endpoint that most builders skipped, and has a test suite covering retry logic and adapter mapping. Professional development practices throughout.

X Post: https://x.com/advisor_aii/status/2046520350612328767
Demo: YouTube walkthrough

#9. Solastra by Spider SHAH | 27.0 / 40

Tech	Social	Utility	Presentation
7.5	2.5	8.5	8.5

A novel concept: a demo trading terminal for Solana memecoins where users practice with fake SOL at real Birdeye prices. Security checks run before every demo trade, and a global leaderboard tracks performance. Multi-provider fallback (Birdeye → DexScreener → GeckoTerminal) keeps the system resilient. Built with Next.js + Supabase, deployed on Vercel.

X Post: https://x.com/TechSharkD/status/2045869427665805632 Demo: solastra-zeta.vercel.app

#10. Maetra by Mayur Asodara | 25.7 / 40

Tech	Social	Utility	Presentation
7.8	1.9	8.5	7.5

The deepest wallet-level analytics in the sprint. Maetra extracts ~35 distinct data points across 9 Birdeye endpoints — including advanced ones like trader/txs/seek_by_time and trader/gainers-losers that most submissions don’t touch. Features include copy-trading profiles, win streak calculations, and wallet conviction scoring. A unique combination of trading verticals that goes well beyond the typical dashboard.

X Post: https://x.com/mennytheraccoon/status/2048028668350652917 Demo: Tweet demo

Sprint 1 by the Numbers

Metric	Value
Total submissions	46
Highest Technical Depth score	9.0 (Smart Bird)
Highest Community Support score	10.0 (Precious)
Highest Product Utility score	10.0 (RugBurn)
Highest Presentation score	10.0 (ZeroSniper)
Most Birdeye endpoints used	10 (Birdeye Radar)
Most GitHub commits	224 (ZeroSniper)
Most real users	200+ (Raze)
Disqualified submissions	3 (Agent spam / No Birdeye usage)
Average score (qualifying submissions)	19.8 / 40

What’s Next: Sprint 2

Sprint 2 is live now. Same rules, same prizes:

• Top 1: $500 USDC + 2-Month Premium Plus Plan
• Top 2: 2-Month Premium Plus Plan
• Top 3: 1-Month Premium Plus Plan

How to participate:

1. Get your API Key at bds.birdeye.so
2. Build something. Hit 50+ API calls.
3. Share on X — tag @birdeye_data and use #BirdeyeAPI
4. Submit on Superteam Earn → Sprint 2 Listing

Sprint 1 proved that builders are ready. Now show us what Sprint 2 has.

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Birdeye Data is a high-performance data provider that delivers real-time, accurate, and comprehensive on-chain data across tokens, wallets, trades, and protocols on Solana, Sui, and major EVM chains. From fast-moving startups to global leaders like Phantom, Raydium, Coinbase, and Bybit, Birdeye Data powers teams of all sizes with the data they need to build and scale confidently.

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