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CRMChecked 2026-09-06 Visit the official product page
CRMCAN I VIBECODE
Bigin?
KINDAYou can build the valuable core, but the established product has meaningful operational complexity. Pick one narrow promise for v1.
BUILD FIRST
- One specific customer type and one primary use case
- A vertical slice that completes the main job without manual workarounds
- Visible limits, review steps, and a fallback when an external dependency fails
LEAVE FOR LATER
- Broad third-party integrations
- High-scale collaboration, syncing, and permissions
- Automation that can cause harm without human review
RESEARCH NOTES
What this tool actually does.
AI-Powered simple CRM for small businesses | Bigin by Zoho CRM — Manage leads, deals, emails, calls, and WhatsApp in one place, with meaningful AI built in. 50,000+ small businesses run on Bigin. Get started in minutes, for free.
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build a focused replacement for Bigin for a small sales team managing a defined pipeline, based on this public product description: “AI-Powered simple CRM for small businesses | Bigin by Zoho CRM — Manage leads, deals, emails, calls, and WhatsApp in one place, with meaningful AI built in. 50,000+ small businesses run on Bigin. Get started in minutes, for free.” Do not copy the original brand, proprietary assets, name, logo, UI, or copy; create an original visual system.
Core workflow
- Recreate only the narrow primary workflow described above, with store contacts, companies, notes, and one configurable pipeline; support search, filtering, next-action dates, and an activity timeline; provide import/export and duplicate handling; keep permissions, audit events, and integrations minimal and explicit.
- Keep the product name and source description in a research note in the README, and turn every uncertain behavior into an explicit assumption or user setting rather than inventing a feature.
- Use a small React/TypeScript app with a portable JSON or SQLite data model, clear loading/empty/error states, and adapters around external services. Seed realistic demo data so the complete workflow works without paid credentials.
Scope boundaries
- Out of scope for v1: sales intelligence data providers; automated outreach at scale; enterprise territory and forecasting parity. Do not promise feature parity, proprietary data, or enterprise reliability.
Include a README with setup, environment variables, data model, implementation decisions, privacy behavior, testing instructions, and important limitations.