Nine catalogues, one search screen
X, Telegram, LinkedIn, TikTok, YouTube and Bluesky, each with its own filters, all behind one interface. No six subscriptions, no six exports to reconcile.
Search 18.8 million X accounts, 3 million public Telegram channels, LinkedIn companies with their decision makers, plus TikTok, YouTube and Bluesky. Filter on audience quality rather than raw follower count, and let matching leads become CRM contacts automatically as the search runs.
Each one costs credits per lead collected, so a broad search and a precise one do not cost the same. The picker shows the size of each catalogue rather than implying they are all the same scale.
18.8 million accounts by country, language, topic, audience size and account quality.
The known followers of any account. The fastest route to a competitor's audience.
3 million public channels by topic, language, subscriber count and reach.
Read one public channel live: real member count, description and reach.
Company records with a verified address, a phone number, the website and social handles.
Named people at those companies, filtered by seniority: founders, C-level, VPs, directors.
Creator accounts by topic, language and audience size.
Channels by topic, language and subscriber count.
Accounts by topic, language and follower count.
Most lead tools sell you a list and stop. This one lives inside the CRM the leads are going to be worked in, which changes what happens after the export.
X, Telegram, LinkedIn, TikTok, YouTube and Bluesky, each with its own filters, all behind one interface. No six subscriptions, no six exports to reconcile.
Follower ratio, posts per day, verification, bot exclusion, company size, whether a decision maker is named, whether an email exists. The point is to remove the accounts that would waste your sending allowance.
Pull the known followers of a competitor, a partner or an influencer in your niche. It is the shortest path to an audience that has already proven it cares about your category.
LinkedIn company records carry a verified address, a phone number, the website and social handles, and the people search returns named decision makers filtered by seniority.
Turn on auto-import and matching leads are created as CRM contacts while the search is still running, on the board you chose and with the tags you set.
Before you spend a message on somebody, check the account: a fake-follower audit, engagement quality, shadowban signals and an account valuation, summarised as a verdict rather than a wall of numbers.
Validate addresses before outreach, because a bounced first email is a deliverability problem that follows you into every campaign after it.
Every source shows its cost per lead before you run, each search has a row ceiling, and the run reports what it actually spent. Nothing silently consumes an allowance in the background.
Discovered contacts can be enrolled in a paced multi-channel follow-up sequence in the same workspace, so the gap between "found them" and "wrote to them" is one screen.
Import checks against your existing contacts, so a lead you already know does not come back as a second record with a different handle.
Alongside the social catalogues, the business finder searches open map data for companies by location and category, for the local and offline side of a prospect list.
Everything you collect is yours: CSV export, full workspace export and the public REST API read the same records.
Lead discovery is searching public directories of accounts, channels and companies to build a targeted prospect list, then filtering it on quality signals before anybody spends a message on it. In CRM Solid it runs inside the same workspace as the inbox, the pipeline and the sequences, so a lead found on Tuesday is a contact with an owner by Wednesday rather than a row in a spreadsheet nobody opens again.
What it is not is a scraper pointed at a platform you do not have permission to read, or a magic source of personal email addresses. The catalogues are directory data with the filters you would expect a directory to have, and the honest value is in the filtering: an audience of two thousand accounts that match on country, topic and follower ratio is worth more than two hundred thousand that match on nothing.
Sourcing is priced in credits, spent per lead collected rather than per search, so an exploratory search that returns twelve rows costs twelve rows worth. Two rules are worth knowing:
Follower count is the least reliable number on a social profile. Deep analysis, available from Pro, audits an X account for fake followers, looks at whether the engagement matches the audience size, checks for shadowban signals and produces an account valuation.
It is reported as a verdict with the detail folded underneath, because a grid of vendor metrics is not a decision. A high bot percentage next to a high quality score means something specific, and the summary says what it means rather than leaving you to reconcile two numbers that disagree.
The reason discovery sits inside the CRM is what happens next. Imported leads land on a pipeline board with your tags, can be enrolled in a multi-channel sequence, and every reply comes back into the unified inbox where the AI agent, the assignment rules and the reporting already work.
Sending stays paced on purpose. Sequences run on a per-account daily allowance, inside sending windows, and stop the moment somebody replies. A discovery tool that let you message ten thousand strangers on Monday would be selling you a banned account by Friday.
Three things that are better learned here than after a purchase.
Paced multi-channel follow-ups that stop on reply.
Where imported leads land, with tags and scoring.
Members of the groups your buyers are already in.
Save a profile you found by hand, in one click.
Move the good ones through stages.
Credit allowances on every plan.
Free includes 200 credits a month, enough to judge the data before you pay for it.
Free forever plan · GDPR-ready · No credit card required
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