Find the Right Acquisition
Before the Market Does
A proprietary signal layer across 40+ data sources continuously monitors for distressed SaaS companies, slow-growth operators, and strategically-adjacent targets — surfacing them 6–12 months before they appear on investment banker shortlists.
No banker fees. No information lag. Signal-driven deal sourcing.
Built for acquirers who move before the process starts
The signal layer is purpose-built for three buyer types who need deal intelligence months ahead of a formal process — when pricing is still fair and competition is absent.
PE Firms with Software Portfolios
You are running buy-and-build or add-on strategies across a platform company. You need a continuous feed of sub-market targets — operators with proven revenue but stalled growth — before they engage advisors.
Buy-and-build & add-onStrategic Acquirers Doing Roll-Ups
You are a SaaS company growing through bolt-on acquisitions — buying adjacent feature sets, geographic coverage, or customer bases. Speed and information advantage determine whether you pay fair value or an auction premium.
SaaS roll-up & bolt-onM&A Advisory Firms
You advise buyers on software M&A and need a proprietary deal origination layer — not just the companies already known to every other advisor, but targets your clients can approach on a bilateral basis with real information advantage.
Origination & advisorySix signal classes that surface targets early
Each class triangulates a different dimension of company health. No single signal is conclusive — the system scores targets by the weight and co-occurrence of signals across all six classes simultaneously.
Hiring Freeze Signals
Job posting velocity drops, open roles go unfilled for extended periods, or a company stops posting engineering and product roles entirely — all while previously active. Indicates constrained runway or deliberate cost reduction ahead of a transaction.
Product Stagnation
Changelog absence, collapse in public commit frequency, declining feature release cadence — tracked against historical velocity. A product that stops shipping is a product whose roadmap has stalled, whether by choice or constraint.
Founder LinkedIn Changes
Board additions by founder, subtle title shifts from CEO to "Advisor," investor network additions, or newly-added M&A advisory connections. Founders preparing for an exit leave a traceable professional footprint months before any process launches.
Funding Signal Absence
Companies at a stage and age where a next funding round would be expected — but no round materializes. The absence of capital events in a period when peers are raising signals either profitability (attractive) or investor disinterest (distressed).
Customer Churn Signals
Review velocity on G2, Capterra, and comparable platforms drops sharply — fewer new reviews despite a large installed base. When existing customers stop advocating and new customer acquisition stalls, review cadence reflects it before NPS surveys do.
Revenue Plateau Proxy
Headcount flat or declining while comparable-stage companies continue to grow — or sales team contracting while product and engineering scale. Team composition shifts reveal the revenue trajectory that no press release will announce.
Four intelligence layers running in parallel
Each layer serves a different stage of deal development — from continuous discovery to bilateral outreach readiness.
Signal Monitor Dashboard
A live feed of scored targets ranked by signal weight, co-occurrence, and recency. Filter by sector, revenue stage, geography, and signal class. New targets surface as signals trip threshold — not on a weekly batch.
Live · Updated continuouslyWeekly Intelligence Digest
A curated briefing of the highest-confidence targets from the prior seven days — new entrants, signal escalations on existing targets, and companies where multiple signal classes are firing simultaneously. Delivered as a structured report with source evidence.
Weekly delivery · Structured reportTarget Dossiers
On request, we compile a full dossier on any target in the system: signal history, inferred financial health, key stakeholders, likely motivations for a transaction, and suggested approach vectors for bilateral outreach. Ready in 48 hours.
On request · 48h deliveryDistressed Opportunity Alerts
Immediate notification when a target crosses a high-confidence distress threshold — multiple signal classes firing within a short window. Designed for buyers who want first-mover advantage before a target begins exploring options.
Real-time · Push notificationFour tiers from weak signal to confirmed opportunity
Not every signal carries equal weight. The model scores each target by tier, and only escalates an alert when the evidence crosses a defined threshold — reducing noise and false positives for the deal team.
| Tier | Signal Examples | Confidence | Recommended Action |
|---|---|---|---|
| Weak | Single signal class firing — e.g., hiring slowdown only, or one negative review cluster. No corroborating signals from other classes. | 25–40% | Add to watchlist. Monitor for additional signal class activity over the next 60–90 days before investing further research. |
| Moderate | Two signal classes firing — e.g., hiring freeze paired with product stagnation. Signals are directionally consistent but not yet conclusive. | 41–65% | Commission a preliminary dossier. Validate independently with one or two industry contacts. Establish a monitoring cadence. |
| Strong | Three or more signal classes converging — e.g., founder LinkedIn shifts, hiring freeze, and review velocity collapse occurring within the same 90-day window. | 66–84% | Escalate to the deal team. Request a full target dossier. Begin internal qualification and develop a bilateral outreach approach. |
| Confirmed | Four or more signal classes plus independent corroboration — e.g., funding absence, headcount contraction, and a founder role change all confirmed against multiple independent sources. | 85%+ | Initiate bilateral outreach. The window for proprietary deal access is open — but narrow. Move before a formal process is launched. |
Learn the signal methodology in depth
M&A Signal Intelligence: How It Works
A live walkthrough of the signal layer — data sources, scoring model, and how targets surface months before formal processes begin.
Identifying Distressed SaaS: A Signal Playbook
Deep dive into distress signal patterns — what firing combinations are most predictive and how to structure a bilateral outreach approach.
Common questions
The signal layer aggregates across 40+ sources including professional network activity (LinkedIn profile and posting data), job board and ATS postings, public product changelogs and version histories, open-source commit activity, software review platforms, funding announcement databases, web traffic indices, and industry forum discussions. No single source is the signal — the model triangulates across classes to produce a composite score.
Standard deal databases reflect what companies have already disclosed — funding rounds announced, financials filed, CEO changes published. That information is available to every buyer simultaneously, which drives competitive processes and premium pricing. The ProductQuant signal layer detects behavioral and operational changes that precede disclosure by months. The intelligence advantage comes from interpreting signals that aren't reported, not from aggregating reports that everyone already has.
Yes. The signal layer has dedicated coverage for the CIS/RU software market, including Russia-specific professional networks, local job boards, and RU-language review platforms not indexed by global tools. This is a deliberate capability — SaaS M&A in the CIS region is severely underserved by existing tools, and it represents an opportunity for buyers with regional mandates. If your thesis involves Eastern European or CIS software targets, contact us to discuss specialized coverage.
Both. At onboarding you define your acquisition thesis: target sectors, revenue stage (inferred), geographic scope, product category, and whether you are looking for distressed operators, growth-plateau assets, or strategically-adjacent capabilities. The signal layer then filters and scores against your criteria. The system surfaces what matches — you decide what to pursue. You can also browse the full universe of tracked companies and apply your own filters directly in the dashboard.
Pricing is structured by number of monitored sectors, geographic scope, and the cadence of target dossiers included. There is a flat annual subscription for dashboard access and weekly digests, with dossiers available as included bundles or on a per-request basis. Given the deal-size context in which this intelligence is used, pricing is calibrated accordingly — not to a per-seat SaaS model. Contact us to get a scope-specific proposal.
Start Monitoring Your Deal Pipeline
The window between when a target starts showing distress signals and when they engage an advisor is short. Set up your signal monitor now and be positioned to move when the opportunity opens — not after it closes.