DEALINTEL
PRIVATE FIX & FLIP INTELLIGENCE
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Comparison

DealIntel vs Privy

Privy is an investor-focused, MLS-powered deal-finding tool — strongest on real-time MLS discovery, investor-activity signals, and automated comps. DealIntel is an institutional fix & flip underwriting platform — strongest on Kill List, six-strategy comparison, and Investment Memorandum output. They operate at different stages of the deal.

The short answer

Privy and DealIntel are not the same product fighting over the same moment in the deal. Privy is discovery-first, with real-time MLS access and investor-activity signals that are among the strongest in the investor-tier market for finding deals. DealIntel is underwriting-first, with institutional-grade risk and financial infrastructure for deciding on a specific deal.

Investors hunting for deals should use Privy to source and shortlist. Investors deciding whether to buy a specific property at institutional rigor should use DealIntel. Active flippers running a real pipeline should use both.

Where Privy wins

Real-time MLS deal discovery

Privy's live MLS access with investor-oriented filters is its core differentiator. For an investor deciding which on-market and just-listed properties are worth a closer look, Privy is the right tool.

Investor-activity signals

Privy flags what other flippers and investors are buying and selling in an area — a genuinely useful demand signal for steering where to hunt.

Fast automated comps

Privy's automated comps produce a quick MLS-driven comp set and ARV estimate — well-suited to screening a list of candidate properties during discovery.

Where DealIntel wins

Fix & flip institutional underwriting

Confidence-weighted ARV from comps. 25-point Kill List. Six strategies in parallel on every deal. Monte-Carlo stress testing. Hard money / DSCR / construction / conventional financing comparison. Investment Memorandum PDF.

ARV methodology

ARV from a median of 5+ closed renovated comps, parity- adjusted, confidence-scored, and fed into a full underwrite. Privy's automated comps are MLS-broad and oriented to fast discovery screening — the same raw idea, built for a different job.

Worked example

DealIntel Score
26/100
REJECTEDPrivy surfaced a just-listed flip with strong automated comps. DealIntel's confidence-weighted ARV flagged the comp set as too thin — only 2 true renovated closings inside 0.5mi/90 days — and the Kill List caught a thin-margin exit. Pass.

Side by side

Capability
Privy
DealIntel
Primary positioning
Investor-focused, MLS-powered deal-finding and comps tool — surfaces on-market and just-listed deals that fit fix-and-flip or rental criteria and runs automated comps for a quick ARV.
Institutional fix & flip deal intelligence — built to underwrite, score, and reject a specific deal on a defensible institutional standard.
Target user
Active investors hunting for deals — fix-and-flippers and rental buyers who want real-time MLS access and to see what other investors are doing in a market.
Fix & flip operators, BRRRR investors, syndicators, small private funds, and capital allocators evaluating 5+ deals per quarter.
Core strength
Deal discovery and fast comp-based ARV using live MLS data — finding which listings are worth a closer look and roughly what they comp to.
Underwriting a specific deal end-to-end — confidence-scored ARV feeding a full financial model, 25-point risk screen, and committee-ready output.
MLS access / deal discovery
Core strength. Real-time MLS access. Surfaces on-market, just-listed, and price-drop deals that match investor filters (fix-and-flip, rental, wholesale criteria).
Not a listing-discovery engine. DealIntel underwrites a specific address you bring to it; sourcing happens upstream in tools like Privy.
Investor-activity signals
Core strength. Flags what other flippers and investors are buying and selling in an area — investor activity and demand signals to steer where to hunt.
Not modeled as a market-hunting signal. DealIntel evaluates the individual deal's economics and risk rather than aggregate investor activity.
ARV / comps methodology
Automated comps from live MLS data produce a quick comp set and ARV estimate — fast and MLS-broad, oriented to screening listings during discovery.
Confidence-weighted ARV from a median of 5+ closed renovated comps inside 0.5 miles, 90 days, ±10% sqft, with finish-tier parity adjustments. Every figure carries a confidence score and feeds the underwrite.
Deal-breaker screening (Kill List)
No dedicated institutional kill list. Filters help screen listings for fit, but there is no structural / legal / financing / exit deal-breaker screen on a specific property.
25-point institutional Kill List runs on every deal — structural, market, financing, legal, and exit risk.
Strategy coverage
Oriented to fix-and-flip and rental deal-finding. No six-strategy parallel comparison on a single property.
Six strategies in parallel on every deal — Fix & Flip, BRRRR, ADU, Addition, Multi-Unit Conversion, Ground-Up Development.
Financing scenarios
Not a financing-comparison engine. No automated side-by-side of hard money vs DSCR vs construction vs conventional.
Hard money, DSCR, construction loan, and conventional compared side-by-side with draw schedules, interest reserves, points, junk fees, and true all-in cost of capital.
Monte-Carlo stress testing
Not provided.
Built-in Monte-Carlo engine runs 1,000+ simulations per deal — P10 / P50 / P90 outcomes under rate, rehab, and absorption shocks.
Zoning / ADU intelligence
Not a parcel-level zoning engine. Discovery filters are listing- and market-oriented, not per-jurisdiction zoning or ADU eligibility.
Per-jurisdiction zoning data — FAR, setbacks, density, parking minimums, ADU eligibility, by-right multi-unit rules. Gates strategy paths automatically.
Output format
On-platform deal lists, property views, and automated comp reports oriented to discovery and quick screening.
Institutional Investment Memorandum (PDF) — verdict, Kill List, six-strategy comparison, financial model, financing comparison, zoning, AI Renovation Vision, and AI-drafted offer letter.
Pricing model
Subscription (roughly ~$97/mo; annual plans discounted; exact tiers vary).
Pay-per-deal: $149 trial (1 deal), $349 (3 deals), $999 (12 deals), Institutional custom. No subscription.
Comparison as of June 2026 · facts subject to update if either product changes.

When to use Privy

  • You are hunting for deals and want real-time MLS access.
  • You want to see what other investors and flippers are buying and selling in a market.
  • You want automated comps to quickly screen which listings are worth a closer look.
  • You want a subscription model for ongoing deal-discovery access.

When to use DealIntel

  • You evaluate fix & flip at institutional volume — 5+ deals per quarter.
  • You need confidence-weighted ARV from a comp methodology, fed into a full underwrite.
  • You want a 25-point Kill List automatically run on every deal.
  • You evaluate ADU, Addition, Multi-Unit Conversion, or Ground-Up paths in addition to Fix & Flip.
  • You compare hard money, DSCR, construction, and conventional financing.
  • You produce institutional memoranda for capital partners, lenders, or committees.
Try DealIntel on one deal →

Related comparisons

Frequently asked questions

Is DealIntel a replacement for Privy?

No — they operate at different stages of the deal. Privy is an investor-focused, MLS-powered deal-finding tool: real-time MLS access, investor-activity signals, and automated comps that surface which listings are worth looking at and roughly what they comp to. DealIntel is an institutional fix-and-flip underwriting platform: 25-point Kill List, six-strategy comparison, Monte-Carlo stress testing, and a committee-ready Investment Memorandum on a specific deal. Many operators use Privy to find deals and DealIntel to decide whether to buy them.

Which is better for finding deals?

Privy. Its core strength is real-time MLS access with investor-oriented filters plus investor-activity signals — it shows on-market and just-listed properties that fit fix-and-flip or rental criteria and flags what other flippers are buying and selling in an area. DealIntel is not a listing-discovery engine; it underwrites a specific address you bring to it.

Which is better for underwriting a specific deal?

DealIntel. The 25-point Kill List, confidence-weighted ARV from a comp methodology, six-strategy parallel comparison, financing comparison, Monte-Carlo stress test, and Investment Memorandum are all built to answer whether to buy a specific property, at what offer, with what risks. Privy gives an MLS-driven comp set and ARV estimate for screening, but it is not an institutional underwriting engine.

Both tools do comps — so how are the ARV numbers different?

Fairly, both run comps, but they are built for different jobs. Privy's automated comps draw on live MLS breadth and are oriented to fast screening during discovery — great for 'which listings are worth looking at and roughly what's the comp?' DealIntel's ARV is a confidence-weighted median of 5+ closed renovated comps within 0.5 miles, 90 days, ±10% sqft with finish-tier parity and a confidence score, and it feeds directly into a full underwrite and risk screen — built for 'should I buy this specific one, at what offer, with what risks?' Privy's edge is real-time MLS discovery; DealIntel's edge is a defensible, scored ARV inside a full underwrite.

Should I use both Privy and DealIntel?

For most active flippers, yes — they are complementary at different stages. Use Privy to source deals: real-time MLS, investor-activity signals, and a fast comp to shortlist listings. Then run the shortlisted address through DealIntel to underwrite it — Kill List, confidence-scored ARV, six-strategy comparison, financing comparison, and Investment Memorandum. Discovery with Privy, underwriting with DealIntel.

How does pricing compare?

Privy uses subscription pricing (roughly ~$97/mo, with discounted annual plans; exact tiers vary). DealIntel is pay-per-deal: free signup with 2 free evaluations, then $149 / 1 deal, $349 / 3 deals, $999 / 12 deals, custom for Institutional — no subscription. The models reflect different products: Privy charges for ongoing MLS discovery access; DealIntel charges per institutional-grade evaluation.

Written by
Matt Abadi
Founder, DealIntel

Matt Abadi is the founder of DealIntel. He leads the development of the platform's six-strategy underwriting engine, 25-point Kill List, and Monte-Carlo financial model — the institutional analysis stack DealIntel applies to every fix and flip deal. DealIntel was founded in 2025 with the central thesis that knowing when not to invest is the most valuable number on the page.

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Last reviewed: June 2026