Flocci Leads: Manufacturing Sales Pipeline From India's Public Record

The deal died in the gaps between three browser tabs. A rep had found the prospect on LinkedIn, pulled a phone number off JustDial, and left a half-finished note in a spreadsheet — three fragments of one buyer, none of them talking to each other. The follow-up call that should have happened on Thursday never got made, because no single tool knew it was owed. By the time anyone remembered the lead, a competitor had already booked the meeting. Nothing dramatic broke. The pipeline just quietly leaked, the way it always does when a prospect lives in three tools at once and belongs to none of them.

The Indian SMB funnel is broken in a specific way

Everybody knows top-of-funnel prospecting is painful. What’s less obvious is that the pain in India is a different shape than the one the US sales stack was built to solve. There is no clean, queryable Apollo-for-India that already knows every ten-person manufacturer in Pune and which of them just hired a compliance officer. The data exists — but it’s scattered across a company registry with no public API, provident-fund and ESI filings, telephone directories, and a long tail of listing sites that were never designed to be read by machines.

So Indian B2B reps improvise. They buy a purchased list that’s already six months stale, then burn hours hand-searching LinkedIn, then cross-reference IndiaMart, then paste the survivors into whatever CRM they’re nominally supposed to use. Every hand-off between tools is a place where a lead goes cold. The grind isn’t the calling — reps like calling. The grind is assembling something worth calling out of raw, unstructured public data, one browser tab at a time.

Flocci Leads’ thesis is blunt: stop buying leads and start manufacturing them. Treat India’s public record as the raw material it actually is, and build one system that runs the whole loop — discover, verify, score, queue, dial, disposition — without ever leaving the tool.

Discovery as a cascade, not a lookup

The engine at the center is a discovery cascade. You type a query in plain language — “HR heads at Pune manufacturers” — and a parser first classifies what kind of entity you’re hunting: a founder, an engineer, an investor, a researcher, a local professional. That classification routes the request through a connector registry to the sources that actually hold that kind of person.

This is the architectural decision that makes the rest possible. Each source — Brave Search, data.gov.in for MCA and EPFO records, OpenCorporates, GitHub, funding news, Product Hunt, ORCID, OpenStreetMap and Google Places, JustDial and IndiaMart — is a connector module, not hard-wired core logic. New verticals get added by writing a connector, not by rewriting the pipeline. And critically, every connector degrades gracefully: when an API key is absent, that source narrows recall rather than breaking the run. The system is designed to handshake first and fall back to scraping only as a last resort, so it bends instead of failing closed.

The most India-specific move sits inside that cascade: MCA registry mining. Flocci Leads scrapes the company registry — via zaubacorp and tofler, no API key required — for a firm’s CIN, incorporation date, authorized capital, status, and its list of registered directors. Then it converts those directors straight into lead cards. That’s the difference between “here is a company” and “here is a named, accountable decision-maker with a paper trail” — pulled from a source that is, by law, kept current.

From raw contact to ranked opportunity

Discovery fills the top of the funnel. Scoring decides what to do about it. Every lead is broken into three sub-scores — Urgency, Contactability, and Conversion-Likelihood — that roll up into an A+/A/B/C grade, each accompanied by a plain-language explanation of why and a suggested next action. There’s no black-box number a rep has to trust on faith; the score shows its work.

That transparency feeds directly into the part reps actually live in: the calling queue.

1. Discover or import

   Run a natural-language discovery campaign, or bulk-import an existing list. CSV import stream-parses the file, auto-detects columns, and dedupes across four tiers — phone exact (99% confidence), email exact (98%), LinkedIn URL exact (95%), and fuzzy company-plus-name matching (70%) — showing a new/duplicate/error preview before anything touches the database.

2. Score and grade

   Each lead is scored on Urgency, Contactability, and Conversion-Likelihood, rolled into an A+/A/B/C grade with an automated explanation and a recommended next move.

3. Work the priority queue

   The day’s calls sort into four tiers — follow-ups that are due, hot uncalled leads (fit score 80+), no-answer retries, and warm unworked leads (60+ or A/B grade) — so the highest-value contact is always the next one to dial.

4. Disposition and follow through

   Logging a call updates its status, sets a follow-up date, writes a timeline event, and auto-creates a follow-up task. The lead the story opened with — the one that fell through the cracks — is now structurally impossible to forget.

That last step is the quiet fix for the leaked-deal problem. Tasks live on a filterable board with a snooze that parks the linked lead out of the queue until it wakes; every interaction lands in one reverse-chronological timeline with pinnable notes. The follow-up isn’t a thing a rep has to remember — it’s a thing the system creates the moment a call ends.

The outreach is written for the actual pitch

Once a lead surfaces, the AI sales assistant drafts the approach — cold-call openers, WhatsApp messages, and email pitches, each personalized to the target’s role, industry, and company size, in one of four selectable tones: Assertive, Consultative, Friendly, or Direct. What makes it land isn’t the personalization tokens; plenty of tools do mail-merge. It’s what the copy is grounded in.

The reason the AI copy is unusually credible has a name: dogfooding. Flocci Leads is the actual top-of-funnel engine Flocci’s own business-development team uses to sell Flocci’s HR and payroll SaaS. So when the assistant writes a pitch about PF and ESI compliance, it isn’t writing a demo — it’s writing the message a real rep will send to a real manufacturer this afternoon. The product has to earn its keep on Flocci’s own funnel before it’s asked to work anyone else’s.

Where it sits in the Flocci platform

Flocci Leads doesn’t carry its own auth, mailer, or payment code anymore — it completed a clean cutover onto Flocci’s shared platform. Identity handles JWT auth, Google sign-in, and cross-app SSO, so a membership created in Flocci Pulse carries into Leads. Notification sends real SMTP email; Payment runs PayU with credit-based pricing centralized alongside the rest of the suite; and Intelligence provides the AI, DeepSeek-primary with alternates behind it and exactly-one-debit charging. Every app reaches those providers through a single gateway. The app-local auth, PayU-hashing, mailer, and AI-adapter code was deleted in the cutover — Leads is now a thin, focused product riding shared rails.

The forward view

Flocci Leads is early, and honest about it — the product-level Graph event pilot is deferred, the connector catalog is still growing, and recall is gated by the free-tier quotas of the sources it leans on. But the foundation is the interesting part. A connector-registry architecture means the set of places it can hunt only widens; a scoring model that shows its work means reps can actually calibrate their trust in it; and a product proven on Flocci’s own funnel means every improvement is pressure-tested by people who eat the results.

The bet underneath all of it is that the Indian SMB market doesn’t need a better database to buy. It needs a machine that reads the public record the way a good rep would — patiently, across a dozen scattered sources — and never once forgets to make the follow-up call. And because the pipeline is manufactured from that public record rather than purchased, it compounds: every week of discovery hardens the connectors, deepens the coverage of India’s registry and directories, and sharpens what the queue already knows. A competitor can buy the same stale list Flocci Leads refuses to touch. What no competitor can buy is the accumulating edge of a system that regenerates its own funnel from India’s public record — a little sharper every week, in a shape that arrives with no price tag attached.