Business Match : social app — OpenData-ready integration & protocol analysis

Need authoring & classification service

Mirrors the in-app workflow where a founder speaks plainly and the product shapes a publishable request. We map that to versioned JSON schemas so downstream teams can auto-tag opportunities (fundraising, gtm, automation) without retyping long narratives.

Candidate feed & compatibility extraction

Captures ranked suggestions, percentage scores, and block/mute flags. A concrete use is weekly digest emails inside your own CRM that list only profiles above a threshold score for a given territory.

Messaging & introduction audit trail

Stores thread identifiers, timestamps, and attachment metadata (not necessarily raw message bodies if your policy forbids it) for dispute resolution when two companies claim different terms after an introduction.

Reputation & evidence bundle

Pulls ratings averages, written reviews, and “success story” cards into a normalized table so accelerators can compare mentor performance with the same rubric they already use for portfolio reviews.

Events & community calendar bridge

Where the client surfaces offline or hybrid gatherings, we align RSVP objects with ICS exports for security teams that need attendee manifests cross-checked against physical access lists.

Payments & entitlements mirror

When subscriptions unlock additional profile views, we treat SKU identifiers and renewal windows like lightweight ledger lines so finance can reconcile them beside card statements—an OpenFinance-style reporting slice without pretending unsupported bank APIs exist.

Scenario A — Venture studio dealflow cockpit

Context: Investment associates track warm intros originating inside Business Match.

Data involved: introduction_thread_id, participant UUIDs, timestamps, and structured tags on the originating business need (stage, raise_amount_band).

OpenData mapping: Events stream into a governed warehouse topic social_graph.intros.v1 with PII minimized, satisfying portfolio analytics without exporting full chat transcripts when policy blocks it.

Scenario B — Corporate innovation scouting

Context: A telco maps Ukrainian and EU startup activity adjacent to its 5G labs.

Data involved: Geo-weighted candidate lists, sector tags, and match scores from the discovery deck.

OpenData mapping: Nightly batches land in an S3-compatible bucket partitioned by country=UA / country=EU for comparison with other OpenData feeds such as national company registries already in your lake.

Scenario C — Compliance archive for regulated referrals

Context: A boutique broker must show who introduced whom before a capital call.

Data involved: Immutable log of connection requests, acceptance events, and profile snapshots at acceptance time.

OpenFinance tie-in: When conversations later reference wire instructions, the same pipeline attaches external Open Banking payment confirmations from your bank partner so investigators see both social provenance and cleared funds.

Scenario D — Community operator KPIs

Context: Young Business Club–style chapters measure engagement across chapters.

Data involved: Event RSVPs, recurring active users, premium conversion counters.

OpenData mapping: Metrics export matches the grain your BI team already uses for Meetup or chapter Slack workspaces, so executives read one consolidated dashboard.

Scenario E — Mentor marketplace payouts

Context: Experts invoice after completed sessions booked through the app.

Data involved: Session completion flags, star ratings, refund states.

OpenFinance mapping: Completion objects trigger accounts-payable jobs; when payouts ride on SEPA or card rails, we attach dual-control references so treasury matches mobile entitlements with bank files.

Session bootstrap (pseudocode)

POST /studio/v1/business-match/session
Content-Type: application/json
X-Client-Attestation: <DEVICE_CHECK_TOKEN>

{
  "package": "com.ybc_next",
  "username": "founder@company.com",
  "password": "***redacted***",
  "device_profile": {
    "locale": "en-US",
    "push_channel": "fcm:topic.dealflow"
  }
}

201 Created
{
  "session_id": "sess_8Qk2",
  "access_token": "bm_at_********",
  "expires_in": 3600,
  "mfa_state": "NONE"
}

Need + match pull (pseudocode)

GET /studio/v1/business-match/needs/active
Authorization: Bearer bm_at_********

200 OK
{
  "need_id": "nd_441a",
  "ai_summary": "Seeking EU payment acquirer intros",
  "verticals": ["fintech","b2b_saas"],
  "matches": [
    {
      "profile_id": "pr_9981",
      "score": 0.87,
      "signals": {
        "geo_distance_km": 120,
        "shared_investors": 2
      }
    }
  ],
  "pagination": { "cursor": "eyJpIjoi..." }
}

Webhook: introduction accepted

POST https://hooks.customer.com/bm/intro
BM-Signature: t=1710000000,v1=8f3c...
Content-Type: application/json

{
  "event": "intro.accepted",
  "need_id": "nd_441a",
  "parties": ["pr_221","pr_9981"],
  "accepted_at": "2026-04-11T15:22:11Z",
  "channel": "in_app_chat"
}

429 Too Many Requests
{ "error": "RATE_LIMIT", "retry_after_sec": 30 }

Compliance & privacy

Publisher materials reference a privacy policy hosted under the Young Business Club domain, and marketplace disclosures state data is encrypted in transit with optional deletion requests. For EU-based subjects, GDPR Articles 5–9 (lawfulness, minimization, storage limitation) govern how exported graph data may be reused, especially when message content leaves the phone.

Because the developer organization has Ukrainian roots, projects that store personal data in Ukraine or transfers involving local operators should also review the Law of Ukraine “On Personal Data Protection” alongside cross-border transfer rules whenever databases sit outside the original jurisdiction.

Where in-app browsers might load third-party finance pages, layer ePrivacy Directive-style cookie consent tracking in your own portal so marketing tags do not undermine the consent posture users expect from the mobile shell.

Data flow / architecture

Nodes: (1) Mobile client or official web surfaces issue authenticated calls. (2) A hardened ingestion worker exchanges tokens, normalizes JSON, and writes append-only logs. (3) A semantic vault stores minimized copies with column-level encryption. (4) Downstream analytics jobs emit aggregates to BI tools, while partner-facing APIs read from read replicas with row-level security.

That four-hop chain keeps latency predictable: most teams schedule syncs every 15–30 minutes for social discovery data, with near-real-time webhooks only for introduction milestones that trigger human workflows.

Shapr

Curated daily batches of professional cards produce swipe outcomes and mutual-interest edges. Teams reconciling Shapr with Business Match usually want unified graph tables for intros so CRM deduplication rules stay consistent.

Lunchclub

AI-scheduled one-to-one meetings yield calendar artifacts and goal metadata. Export pipelines often join those meetings to Business Match needs to see which channel produced faster first calls.

LinkedIn

Canonical employment history and content graphs differ from lightweight match scores, yet both feed the same enrichment layer when investors verify titles before wiring funds.

Meetup

RSVP and chapter data complement in-person discovery features Business Match advertises. Joint analytics help community managers plan city-level events without double-booking venues.

Bumble Bizz

Mode-switching within a consumer super-app generates separate conversation threads. Mapping Bizz threads beside Business Match threads clarifies which product owns consent for follow-up marketing.

Fishbowl

Semi-anonymous workplace discussions produce text-heavy feeds. Data teams compare Fishbowl sentiment exports with Business Match structured needs when diagnosing industry pain points.

Blind

Pseudonymous employer chatter contrasts with Business Match’s identity-forward model, yet device graphs sometimes overlap; careful joins prevent accidental deanonymization.

Bizzabo

Event lifecycle records (tickets, sessions) align with conference-driven intros. Integrators pipe attendee lists into the same warehouse topic used for Business Match Web Summit–style leads.

CoFoundersLab

Founder-seeking-cofounder forms resemble Business Match need objects. Shared schema work reduces ETL sprawl when both apps coexist inside accelerators.

Polywork

Multi-role personal branding pages supply link-out metadata. Combining Polywork URLs with Business Match profiles helps auto-fill advisor dossiers your analysts already maintain.

Deliverables checklist

• OpenAPI / Markdown spec covering auth, discovery, and webhook shapes
• Protocol trace documenting TLS pinning behavior, headers, and refresh chains
• Runnable Python or Node.js service templates with pytest smoke tests
• Data dictionary aligned to the integration table on this page
• Runbook for incident response when store policies change

About our studio

We specialize in authorized mobile interface integration for fintech, commerce, and high-trust social products. Engineers on the bench have shipped login replication, statement retrieval, and webhook bridges across multiple continents.

• Protocol reverse engineering strictly under customer authorization or public documentation
• SDKs that wrap token lifecycles, including device attestation where required
• Partner workshops that translate legal DPIAs into concrete field exclusions
• Source code delivery from $300 with documentation and satisfaction-aligned billing
• Pay-per-call hosted endpoints when you prefer usage-based economics

Contact

Share your target app name, compliance constraints, and desired objects (needs, matches, reviews, payments). We respond with a scoped milestone plan.

Open the contact page

Engagement workflow

1. Joint scoping workshop: pick scenarios, frequency, and residency of data stores.
2. Traffic capture in a controlled sandbox account with written consent (2–4 business days).
3. Implementation sprint with staged PRs per endpoint family (5–10 business days typical).
4. Hardening: retries, backoff, synthetic checks, and observability dashboards.
5. Knowledge transfer plus 30-day defect window; extensions available for rotating store policies.

FAQ

Do you ship unofficial scraping bots?

Can you guarantee feature parity with future app releases?

How do you test without exposing PII?