Learn SYNQ

SYNQ is built for partner discovery: you describe the kind of company or partner you want, and the product searches the open web, gathers evidence from public pages, and returns ranked candidates with explanations.

Everything you save is scoped to a workspace so teams can separate contexts (for example different programs or accounts).

SYNQ combines automated discovery with large language models to read sites, summarize what matters, and score fit against your brief. It is a research assistant, not a replacement for your own diligence and relationship decisions.

Sign in through the app’s authentication flow. After login, pick or stay in the workspace that should own your briefs, markets, and runs.

Core areas in the product include:

• Setup: shape your Launch Brief and start searches or market workflows.
• Overview: a dashboard style view of activity and highlights.
• Matches: the working list of candidates from live search or related flows.
• Markets: persistent “saved markets” you build and refine over time.
• Deep Match: deeper strategy style memos per company when you need more than a shortlist.
• Company clouds and mixer flows: structured research clouds and combined views for two companies.
• RocketReach (optional): person lookup when you connect your own API access.

If something looks queued or in progress, refresh or return to the list; many jobs are asynchronous.

The Launch Brief is the contract between you and the system: it captures geography, category, priorities, exclusions, and the story of what “good” looks like.

In Setup you can work through guided fields, use chat style assistance, and turn free text into structured brief data. The app tracks readiness so you know when you have enough to launch.

You typically choose between:

• Live web search: run a discovery pipeline against the public web for fresh candidates.
• Saved market: reuse a market you already captured, then qualify or search inside that saved base.

When you launch, the app creates a run, shows progress, and lands results in Matches or the relevant workflow screen.

A live search run is a multi step pipeline:

1. 1 Your brief is interpreted into structured intent.
2. 2 The system generates search queries to cover the brief from different angles.
3. 3 A web search provider returns URLs; the system fetches and reads selected pages.
4. 4 Candidates are deduplicated and normalized.
5. 5 An enrichment step pulls structured facts and signals from page content.
6. 6 A scoring step compares each candidate to your brief and produces fit, rationale, and ordering hints.

Runs execute in the background. Large batches use controlled concurrency so the system stays reliable. You may run continuations to ask for more results where the product allows it; upper limits apply to protect quality and cost.

Always treat web derived facts as provisional until you verify them against primary sources or direct conversation.

A match is a candidate tied to your brief with a fit assessment. You will see labels such as strong or good fit, short rationale, and status (for example new versus archived).

Open a match to read detail: evidence, summaries, and next step suggestions the product can generate from the same context.

Use statuses and your own notes to manage a pipeline: SYNQ is most useful when you combine automated ranking with human judgment on trust, timing, and strategic fit.

A market is a workspace scoped list of companies you capture and keep. It is useful when you want a reusable universe (for example “EU fintech infrastructure”) instead of one off search runs.

Building a market runs broad discovery: many queries, web results, deduplication, and light filtering so new rows land in your base quickly. Capture aims toward a target count you set, but the job can stop early when the web stops yielding new entities, when limits are reached, or when a time budget expires. Treat the target as a goal, not a guarantee.

After capture you can:

• Qualify the saved base against your Launch Brief so each row gets LLM based fit scoring.
• Search inside your market with text; that path ranks saved companies without another live web scrape.
• Verify or highlight companies you trust; verified rows can participate in other product flows.

Markets are a living asset: rebuild or extend when your definition of the market changes.

Deep Match produces a richer memo per company: who they are, why they matter now, recommended partnership moves, entry wedges, risks, and outreach guidance grounded in the same evidence.

When you analyze several companies together, the product can add portfolio level themes, suggested order, and shared risks.

Use Deep Match when a short rationale is not enough and you want a strategic narrative you can share or edit before outreach.

Company clouds are neutral research profiles: deep context on a single organization stored as a cloud you can reopen and extend.

Partnership opportunity flows build on a cloud to surface angles, theses, and citations you can turn into action.

Mixer clouds combine two company clouds to highlight synergies, overlaps, and risks when you evaluate a specific pairing.

These flows share the same principle as search and markets: evidence from public material, summarized and structured for speed, with you responsible for final judgment.

Outreach drafting uses your match context to propose email style messages. You choose tone and goals in the product; edit every line before sending externally.

RocketReach is optional. When you connect a RocketReach API key once for your account, the app can proxy person search and lookup in every workspace. Availability and data quality follow RocketReach’s own product rules and your plan. Keys are stored for your user account; treat the integration as your credential.

SYNQ speeds up discovery and first pass evaluation. It does not guarantee completeness, legal accuracy, or that every match will answer.

Jobs can queue behind others, time out on very large asks, or stop when no new candidates appear across repeated passes. Web content can be stale, wrong, or incomplete; models can misread nuance.

Best practice: use SYNQ to build a prioritized shortlist and a fact base, then verify claims, check financial and compliance fit, and run real partner conversations on your own terms.