OpenAcquisitions, Sprint 1 preview
Every US business for sale.
One source of truth.
Aggregated US business-for-sale listings across the major national marketplaces and specialty broker channels, normalized into one schema and deduped across sources. Built for funded searchers, family offices, and operators sourcing acquisitions.
50
US states covered
14
Industry categories
8
Broker sources in pipeline
<24h
Listings sync target
What you get
A deal feed engineered like a financial database.
Coverage you can verify
Pulling from across the major national US business-for-sale marketplaces plus specialty and regional broker channels. Coverage counts published per category.
Dedup across sources
Same listing on multiple broker sites collapses to one canonical row, with full source provenance attached. Dedup is built into the schema.
Stale-listing detection
A listing that stops updating gets flagged. So does one that goes dark at the source. You stop wasting time on deals that already sold.
Asking-price history
When a broker drops the price, you see when and by how much. Reductions over 90 days surface as a buyer signal.
SBA math built in
Every deal links into the SBA 7(a) calculator pre-filled with its asking price and SDE. Three scenarios side by side, DSCR shown.
Hardened from commit one
Row-level security on every multi-tenant table, audit log from the auth layer down. The discipline lives in the migrations, where it can be inspected.
Where OA fits
Compared to SearcherOS.
SearcherOS is the closest direct competitor we have identified. Here is an honest comparison: where OA already leads, where we are on par, and where they currently ship more product than we do.
Dimension
OpenAcquisitions
SearcherOS
Coverage published per category
YesSource counts broken out by category, freshness target stated
NoAggregate listing count only; no per-category transparency
Canonical-listing graph (dedup)
YesOne row per real-world listing across sources
UnclearNot publicly claimed
Stale-listing detection
YesFlag when broker stops updating or listing goes dark
UnclearNot publicly claimed
Asking-price history per listing
YesReductions over 90 days surface as a signal
NoCurrent price shown, history not visible
Open REST API
Sprint 2Paid API tier on the roadmap
NoMCP integration only
Cheapest aggregation tier
Sprint 2Lower-priced aggregation-only tier in scope
Yes$29/month, caps deals at 5 and CIM at 1/month
AI CIM analysis
NoOut of Sprint 1; targeted for later quarter
YesUpload PDF, AI extracts financials
Pipeline CRM
NoOut of Sprint 1; planned for Sprint 3+
YesPipeline view, broker contacts, tasks
Comparison compiled from SearcherOS public surfaces on 2026-05-29 and 2026-05-30. We update this table as either product ships changes.
Coverage
Breadth, freshness, fingerprints.
We index across the full set of US business-for-sale channels a serious buyer would touch, normalize every listing into one schema, collapse duplicates, and re-check freshness on a <24h cycle.
National marketplaces
4 sourcesThe largest US business-for-sale destinations operators already check daily.
Specialty + commercial
2 sourcesCategories like commercial real-estate-adjacent listings and category-specific marketplaces.
Vertical + niche brokers
3 sourcesOnline-business brokers and category specialists (SaaS, ecom, content sites) coming online in Sprint 2.
8
Total sources in pipeline
50
US states covered
14
Industry categories
<24h
Freshness target
Per-source last-scraped status, dedup rate, and coverage percentage ship with the Sprint 2 source-health dashboard.
Pricing
Three tiers, no success fees, no transaction charges.
Dollar amounts confirmed before the paid tiers ship. The Feed tier stays free during Sprint 1 preview.
Feed
aggregation only
- Full deal feed across every source
- All filters, sorting, and dedup
- SBA 7(a) calculator
- Source-health dashboard
Searcher
Recommendedfeed + workflow
- Everything in Feed
- Saved buy boxes and email alerts
- Asking-price history per listing
- Notes and saved deals
Coming Sprint 2Team
shared pipeline
- Everything in Searcher
- Multi-seat workspace with RLS
- Custom broker scrapers
- REST API access
Coming Sprint 3
Questions
Common questions.
Where do the listings come from?
The major national US business-for-sale marketplaces plus specialty and category-specific broker channels. We aggregate from across that pipeline, normalize every listing into one schema, and dedupe across sources so the feed is one canonical view rather than five overlapping ones.
How is OA different from going site-by-site?
Going site-by-site means cross-checking the same deal under different titles, different asking prices, different cash-flow framings, and different freshness. OA aggregates the same pipeline, dedupes the overlap, normalizes the financials into one schema, and flags stale listings so each real-world deal collapses to a single canonical record.
How fresh is the data?
Sprint 1 target is sub-24-hour indexing on the major sources. Per-source last-scraped time becomes visible on the Source health dashboard in Sprint 2.
Do you charge success fees or take a cut of deals?
Not on the on-market deal feed. That is a flat subscription, period. When we layer in proprietary deal flow in later sprints, the economics on that channel will be different and will be disclosed up front before any contract.
Who built this?
Chris Weathers and LinDon Harris. Chris brings the searcher and operator perspective; LinDon brings sell-side and buy-side finance plus the engineering build. Founder background is on the Sources section commit history if you want the receipts.