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CRM App Starter · Industry version

Startup CRM Template

A CRM that reads your product's signals and runs at founder speed — generated into a codebase your startup owns.

Startups don't fail for lack of CRM features — they fail to keep the pipeline honest while building the product. This starter is a CRM with zero admin overhead and product signals wired into scoring, generated as code your team can extend like any other repo.

  • 6 core entities
  • Kanban pipeline
  • Code you own
  • Vibe + Governed modes

01 · The problem

Why a generic CRM falls short

Enterprise CRMs assume an admin. Mandatory fields, validation rules, permission matrices — sensible for a fifty-rep org, lethal for a founder logging a deal between standups. The tool that takes thirty seconds per update stops being updated, and a stale pipeline is worse than a spreadsheet because it looks authoritative.

A startup's pipeline starts inside the product. Signups, activation, invited teammates, plan-limit hits — that's where tomorrow's revenue announces itself, and a generic CRM treats it all as an integration project bolted on later. Product signals deserve to be tables sitting next to leads, not an afterthought behind a connector marketplace.

And per-seat pricing inverts startup logic. Early on, everyone sells — founders, engineers on support rotation, the first hire who answers the shared inbox. Paying per seat for that, then facing a migration tax the moment you outgrow the tier, is exactly the treadmill that owning your CRM's code steps off.

02 · Data model

The data model, adapted

Everything in the base CRM starter —

companiescontactsleadsdealspipelinesactivities

— plus the entities this industry actually runs on:

tablewhat it holds
product_signupsSelf-serve signups with source, plan, and workspace — the top of a product-led funnel, linked to the companies they become.
usage_signalsAggregated activation events per signup — seats invited, key features used, limits hit — the raw material for product-led scoring.

03 · Screens

Modules through the industry lens

Product-qualified lead scoring

01

Scoring reads usage signals directly: a workspace that invited four teammates and hit a plan limit outranks any cold list. The PQL queue is a query on your own tables — tune the thresholds by editing code, not by configuring someone's black box.

Founder-speed pipeline

02

Stages are deliberately few — new, in conversation, evaluating, closing, won — and a card updates in seconds. The board is the Monday pipeline review: honest because it's cheap to maintain, useful because it's honest.

Stage-appropriate reporting

03

Signups to conversations to revenue, conversion by source, ARR by plan — the numbers that go in the investor update, computed from live tables. When a metric you need doesn't exist yet, it's a query away, not a plan upgrade away.

04 · In practice

Workflows it models

PQL to demo call

01

A signup crosses the score threshold and surfaces in the queue with its full usage history attached. The outreach opens with what the workspace actually did — which is why product-led follow-up converts where cold sequences don't.

Design-partner management

02

Early design partners carry commitments in both directions — feedback cadence, discount terms, conversion triggers. Tracking them as structured records keeps the five most important relationships from living in one founder's DMs.

Running a fundraise alongside sales

03

Pipelines are named stage sequences, so a raise gets its own — intro, partner meeting, diligence, term sheet — without polluting revenue data. Same board, same timeline mechanics, separate reporting.

Startup CRM template — frequently asked questions

Isn't a CRM overkill for a pre-seed startup?

A subscription CRM often is — setup cost, admin burden, per-seat fees against zero revenue. This is a generated codebase with a handful of tables and a board; it's closer to the spreadsheet you'd have built anyway, except with history, scoring, and product signals attached.

How do product events get into the CRM?

The usage-signals table is a normal table in your database — write events to it from your backend, or batch-sync from your analytics pipeline. It's your schema; the integration is a small internal job, not a marketplace connector with its own bill.

What happens when we hire a real sales team?

The CRM grows the way your product does: add stages, territories, an approval step — whatever the motion needs, in code your engineers already know how to change. You migrate off a tool you've outgrown; you evolve a codebase you own.

Can we track fundraising in it without skewing sales metrics?

Yes — create a separate pipeline with investor-specific stages. Reporting is per-pipeline, so win rates and cycle times for revenue stay clean while the raise gets the same board-and-timeline treatment.

Related

Prabu Rajasekaran, Contributor
Published by Prabu Rajasekaran, Contributor

Dual7 App Starters

Build your Startup CRM on your terms

A CRM that reads your product's signals and runs at founder speed — generated into a codebase your startup owns. Describe your version to start — the output is a project you own.