🎯 What is SponsorPulse?
As a model, UGC creator, and Data Science & AI undergrad, I know firsthand how frustrating it is when beauty and fashion brands slide into your DMs with a $200 "all-in" lowball offer—while quietly sneaking 45 days of paid ad whitelisting and category exclusivity into the fine print.
Most creators either leave thousands of dollars on the table or lose the deal by guessing a random counter-offer. For Hacktoberfest Week 2 ("Side Hustle"), I built the exact tool I wished I had on my Mac: SponsorPulse—a local-first quantitative deal desk and negotiation agent that prices usage rights mathematically and drafts hallucination-free counter-offers in seconds.
When a brand reaches out with a lowball offer and a tricky contract (like demanding 30 days of paid ad whitelisting and 15 days of category exclusivity for a fraction of your true worth), creators usually guess their worth or accept it out of fear. SponsorPulse uses TabPFN-3.5 to compute exact 10th–90th percentile fair market rate cards and local Gemma 3:1b to draft psychologically grounded, bulletproof counter-offer emails.
🧠 The Architecture: Why "Strict Separation" Wins
Small LLMs are notoriously bad at math. If you ask an LLM to price a brand deal, it will hallucinate random numbers.
To solve this, SponsorPulse implements a Deterministic Neuro-Symbolic Pipeline:
- TabPFN / Quantile Engine: Ingests historical deal logs (views, engagement, usage rights, whitelisting, exclusivity) to output precise probabilistic valuation bands (P10 walk-away floor, P50 median target, P90 enterprise stretch).
- Prior Labs Counterfactual Loop: Runs 5 parallel "What-If" queries to show the creator exactly how much cash is unlocked by tweaking contract terms.
- Local Gemma 3:1b Agent: Runs locally via Ollama on Apple Silicon (blazing fast at 120+ tokens/sec).
- Numerical Firewall: An AST/Regex verification layer inspects Gemma's output in real time to physically intercept any hallucinated numbers and enforce TabPFN's exact verified figures.
📸 App Interface Preview
🛡️ Feature Highlights
- Inbound Brand Audit: Paste any brand email; SponsorPulse instantly scans for predatory clauses and calculates the underpayment gap.
- Interactive Deal Levers: Adjust views, engagement rates, and ad usage sliders in real time with instant probabilistic curve updates.
- Sentry Agent Tracing: Full OpenTelemetry span waterfall tracking execution latency across TabPFN inference, counterfactual mutations, and Gemma synthesis.
- 1-Click Judge Sandbox: Deployed with an in-browser fallback engine so judges can test sliders and probability curves instantly even without Ollama installed.
🚀 Try It Live & View Source Code
- GitHub Repository: https://github.com/prashijain-ai/SponsorPulse-/
- Live Render Cloud App: https://sponsorpulse-qlu1.onrender.com/
- Live GitHub Pages (Judge Sandbox): https://prashijain-ai.github.io/SponsorPulse-/
Built with passion for Hacktoberfest 2026. Let's secure that win! 🏆
Top comments (1)
Built the counterfactual engine to run 5 parallel TabPFN passes so creators can see the exact dollar value of stripping paid usage rights vs. exclusivity. If anyone tests the live Judge Sandbox with their own niche metrics, let me know what P50 rate it gives you! Would love feedback on the Regex numerical firewall too.