QuickData.AI by David Bratslavsky
QuickData.AI — AI Underwriting by David Bratslavsky
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David Bratslavsky created QuickData.AI to address a time-consuming challenge in commercial real estate: manually extracting financial information from rent rolls, T12 operating statements, and offering memoranda. This repetitive process slows underwriting, increases the risk of data-entry errors, and limits how efficiently investment teams can evaluate opportunities.
PH · launched Oct 28, 2026 · 1 upvote (top 67%) · 0 views
Niche: lending and credit risk management software · 48 launches, 5 in the last 7 days · Explore this niche →
Category and tags
- Insurance
- Analytics & BI
- B2B
- AI-native
- Commercial product
- Productivity
- Artificial Intelligence
- Tech
Visit website ↗ Source listing ↗
More like this: all 48 launches in lending and credit risk management software →
Could you build this?
Yes The core is LLM-based extraction of fields from PDFs and spreadsheets (rent rolls, T12s, OMs) into a structured underwriting template. This is achievable with document parsing plus an LLM, though accuracy tuning takes real CRE domain work.
Competitors
Other products that read as similar to this one : 247 launches clear the similarity bar, closest 8 shown.
Attention rank: #136 of 248 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 357 days after the earliest competitor.
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- David Bratslavsky’s Approach to Smarter · ph · 2026-09-10 · 1 upvotes · similarity 0.63
- ObligeIQ · ph · 2026-10-26 · 1 upvotes · similarity 0.49
- Investment AI · ph · 2026-10-08 · 1 upvotes · similarity 0.49
- TRunch AI · ph · 2026-09-13 · 2 upvotes · similarity 0.48
- Qlo - AI agents that run commercial underwriting · yc · 2026-08-20 · 35 upvotes · similarity 0.48
- Valuation AI · ph · 2026-10-07 · 1 upvotes · similarity 0.47
- Deal AI · ph · 2026-10-08 · 1 upvotes · similarity 0.47
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