DealIntel vs PropStream — Different Categories, Different Jobs
Operators ask this comparison wrong. The question is rarely "which one should I use" — it is "what is each one for, and how do they stack." PropStream and DealIntel do not solve the same problem. Treating them as substitutes is the most common mistake, and the cost of the mistake is operators carrying 100% of one job and 0% of the other.
Here is the breakdown. For the structured feature comparison see /vs/propstream.
The category split
- PropStream is acquisition. Find properties before they hit the MLS, identify owners, build outreach lists, skip-trace contacts. Answers "which addresses should I call?"
- DealIntel is underwriting. Score properties already in the pipeline, reject deals that fail kill list checks, output a committee-ready memorandum. Answers "should I buy this one?"
These are sequential, not alternative. A serious fix and flip operator runs PropStream (or equivalent) to source 200 leads a month, contacts 60, gets 8 properties under consideration, and runs all 8 through DealIntel. DealIntel rejects 6. The operator buys 2.
What PropStream does well
- Nationwide property database with owner contact info, mortgage data, lien records, foreclosure stage
- Skip tracing built in — phone, email, mailing address
- List-builder for direct mail (distressed, absentee, high equity, free-and-clear, pre-foreclosure)
- Driving-for-dollars mobile mode with one-tap save
- Comp pulls (basic — enough for screening, not enough for institutional ARV)
For sourcing off-market deals at scale, PropStream is the category leader. See our list of 12 off-market sourcing methods— PropStream-class tools enable methods 1, 4, 6, and 9.
What PropStream does not do
- It does not underwrite. The comp-based ARV is a screening number, not an institutional ARV. No median methodology, no confidence haircut, no comp parity diligence.
- It does not run a kill list. No structural, permit, comp-thinness, carry-cost, or refinance-gate checks.
- It does not stress test. No Monte-Carlo, no timeline overrun model, no rate-shock scenarios on the takeout.
- It does not produce a memorandum. No PDF output for a lender, committee, or capital partner.
Operators using only PropStream end up underwriting in spreadsheets. That is fine for individual deals at small scale. It breaks at 5+ deals per quarter, where spreadsheet underwriting becomes both slow and inconsistent. More on the spreadsheet problem here.
What DealIntel does well
- 25-point kill list across structural, market, financing, legal, and exit risk
- Six-strategy parallel evaluation: Fix & Flip, BRRRR, ADU, Addition, Multi-Unit Conversion, Ground-Up
- Confidence-weighted ARV with median methodology and comp diligence
- Monte-Carlo financial model (1,000+ simulations, P10/P50/P90 outcomes)
- Financing-scenario model: hard money vs DSCR vs conventional, true cost of capital
- Zoning intelligence (FAR, setbacks, density, parking) for ADU and conversion feasibility
- AI Renovation Vision — photoreal post-rehab visualizations
- Committee-ready Investment Memorandum PDF
What DealIntel does not do
- It does not source deals. No property database, no skip tracing, no direct-mail list-builder. You bring the address; DealIntel scores it.
- It does not replace an MLS. For on-market listing search, use Zillow, Redfin, Realtor.com, or your MLS.
- It does not generate leads. No drip campaigns, no SMS, no auto-dialer. That is PropStream's job.
How serious operators stack them
The institutional workflow looks like this:
- PropStream (or equivalent) generates 100–300 candidate addresses per month from list-builder + driving for dollars.
- Outreach + screening narrows that to 8–15 properties under serious consideration.
- DealIntel runs institutional underwriting on the 8–15. The kill list rejects 5–10 of them.
- Offer goes in on the 2–4 properties that survive.
- The Memorandum is shared with capital partners and lenders.
Operators doing 5+ deals per quarter cannot run this workflow without both layers. Skip the sourcing layer and you run out of pipeline. Skip the underwriting layer and you lose money on deals that should never have closed.
The pricing math
PropStream is subscription pricing — typically $97–197 per month for individual operators, more for teams and add-ons. Cost scales with users and data depth, not with deal volume.
DealIntel is pay-per-deal — no subscription. Trial Deal $149 (1 deal), Investor Core $349 (3 deals), Operator Pro $999 (12 deals), Institutional custom unlimited. Cost scales with deals evaluated. See full pricing.
For an operator scoring 12 deals per quarter, the all-in cost of stacking PropStream ($147/mo = $441/quarter) and DealIntel Operator Pro ($999 for 12 deals) is roughly $1,440/quarter — under $120 per deal evaluated, with a full institutional underwrite and a sourcing engine behind it.
The honest summary
If you are looking for one tool to do everything, you are looking for the wrong tool. Sourcing and underwriting are different jobs done by different teams at institutional operators — and PropStream and DealIntel reflect that split. Operators who run both are not over-paying for tooling. They are running the institutional workflow.
Related reading
- /vs/propstream — structured comparison
- 12 methods to find off-market deals (ranked by ROI)
- How to analyze a fix and flip deal
- /vs/dealcheck — comparison with DealCheck
- /vs/spreadsheet — why Excel breaks at scale
Keep reading
- How to Analyze a Fix and Flip Deal (The Institutional Workflow)A step-by-step workflow for underwriting a fix and flip deal the way an institutional capital allocator would — ARV from a confidence-weighted comp set, MAO from the 70% rule, stress-tested rehab budget, full carry math, and a pre-mortem before the offer goes in.
- Fix & Flip Red Flags Checklist (25 Things to Inspect Before You Sign)A pre-offer red flags checklist for fix and flip operators — structural, mechanical, legal, market, and financing red flags that should trigger a renegotiation or a walk. Built from the 25-point Kill List DealIntel runs on every property.
- 10 Reasons Fix and Flips Lose Money (Ranked by How Often We See Them)Most failed flips do not fail for exotic reasons. They fail for the same ten reasons, in roughly the same order, every cycle. Here is the ranked list — and the institutional discipline that prevents each one.
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.