.png&w=256&q=75)
🤓 Latest Submissions
Alternative Data Radar
Alternative Data Radar is a serverless pre-earnings intelligence platform that turns three public web signals — job postings, pricing pages, and web traffic proxies — into a single, scored verdict for investors. Built by Team Dare2DevIntel for the Web Data UNLOCKED Hackathon, it solves the fragmentation problem: instead of juggling multiple vendor feeds, analysts get one dashboard, one score, one auditable decision surface. The pipeline runs automatically. Bright Data's Web Unlocker acquires careers and pricing pages on a timed cadence. An AI/ML layer synthesizes raw HTML into structured alerts with confidence ratings. Supabase stores every pull as timestamped evidence. The dashboard then outputs a composite Earnings Health Score, open role counts, enterprise pricing signals, and a traffic index — plus an AI-generated narrative alert a portfolio manager can act on directly. All data is publicly sourced, fully auditable, and compliance-friendly. Type a company name, hit Deploy Agent, and the verdict is ready — weeks before earnings drop.
31 May 2026
Uplan Deep-agent data intelligence for immigration
Transforming immigration documentation from a process of guess work into a precise, context-aware, adversarially-validated science. Turns fragmented visa paperwork into a coherent, explainable decision trail before submission. mmigration documents. Interrogated, not checked. Uplan applies five cooperating specialist agents and a structural encoding pipeline to find the logical inconsistencies that cause visa rejections before an officer does. Visa rejections rarely stem from missing documents. They stem from logical inconsistencies across documents that automated systems miss and consultants overlook.
19 May 2026
Uplan: A Stateful Deep-Agent Document Intelligence
International visa rejections disproportionately stem not from document illegibility but from logical inconsistencies: unexplained financial spikes, crossdocument income disparities, sponsor–applicant coherence failures, and transliteration-induced identity mismatches. Existing automated systems either blindly pass anomalous documents or over-flag legitimate ones, while traditional consultancies are costly, inconsistent, and constitute a privacy risk when handling sensitive financial data. The Uplan concept emerged from a concrete crisis: a real visa applicant’s processwas jeopardised due to the negligence of a consultancy that failed to identifya critical financial narrative inconsistency prior to submission. The applicant declared a conservative baseline taxable income on the primary application form but simultaneously presented supplementary affidavits showing substantially higher, unverified financial figures. To an experienced immigration officer, such a pattern triggers immediate scrutiny. To an automated document-processing tool
10 May 2026
