DenchClaw for Indie Hackers: Your Personal CRM Stack

I've been thinking about the tools indie hackers use to manage relationships — and how most of them are either too expensive, too complex, or both.

You're building a product solo or with one other person. You have users to talk to, potential investors to keep warm, journalist relationships to cultivate, partnership conversations to track, and your own network to maintain. That's a CRM problem. But the standard answer — HubSpot, Salesforce, Pipedrive — is a tool built for 10-person sales teams, priced accordingly, with a data model that assumes you have reps, territories, and a predictable pipeline.

None of that fits.

DenchClaw was built for exactly this gap: a personal CRM stack that's powerful enough to matter, local-first so it costs nothing and your data stays yours, and AI-native so the overhead of maintenance is nearly zero.

What an Indie Hacker CRM Looks Like#

Your relationship management needs as an indie hacker are probably:

1. User relationships — early adopters, power users, churned users, feedback sources
2. Investor prospects — angels, micro-VCs, people who have backed similar products
3. Community and press — journalists who cover your space, influencers, community figures
4. Partners — API partners, integration partners, distribution partners
5. Personal network — friends in tech, people who can make intros, mentors

Each of these has different fields, different stages, different follow-up rhythms. A CRM that forces them all into the same pipeline template is useless. DenchClaw lets you define each one differently.

Setting Up Your Indie Hacker CRM#

Start with four objects and build from there:

Users Object#

name: users
fields:
  - name: Full Name
    type: text
  - name: Email
    type: email
  - name: Twitter/X
    type: url
  - name: Plan
    type: enum
    options: [Free, Trial, Paid, Churned]
  - name: MRR
    type: number
  - name: NPS Score
    type: number
  - name: Last Interaction
    type: date
  - name: Champion
    type: text  # boolean: yes/no
  - name: Referral Potential
    type: enum
    options: [High, Medium, Low, Unknown]
  - name: Notes
    type: richtext

Investors Object#

name: investors
fields:
  - name: Full Name
    type: text
  - name: Fund
    type: text
  - name: Stage Focus
    type: enum
    options: [Pre-Seed, Seed, Series A, Any]
  - name: Check Size
    type: text
  - name: Intro Source
    type: text
  - name: Relationship Warmth
    type: enum
    options: [Hot, Warm, Cold, Unknown]
  - name: Stage
    type: enum
    options: [Identified, Intro Requested, Intro Made, First Meeting, Partner Meeting, Due Diligence, Passed, Term Sheet]
  - name: Last Contact
    type: date

Press and Community Object#

name: press_community
fields:
  - name: Name
    type: text
  - name: Publication/Platform
    type: text
  - name: Beat/Niche
    type: text
  - name: Twitter Followers
    type: number
  - name: Past Coverage
    type: url
  - name: Relationship Stage
    type: enum
    options: [On Radar, Intro Made, Warm, Active, Ambassador]
  - name: Last Pitch Date
    type: date
  - name: Notes
    type: richtext

Tell the agent to create all three: "Create these three objects with these fields" and paste the YAML fields — or just describe them in plain English.

The "Build in Public" CRM Pattern#

Indie hackers who build in public have a specific CRM need that traditional tools don't model: tracking who's following your journey, who you want to follow your journey, and when to share milestones with whom.

Create a build_in_public tag on your people object. When someone expresses interest in following your journey — whether an investor, a journalist, or a fellow indie hacker — tag them.

Then create a view: "All people tagged 'build_in_public' sorted by influence (Twitter followers or relationship warmth)."

When you hit a milestone — $1k MRR, first 100 users, a big customer win — query this view and send personalized update messages to the top 20 people. The agent drafts them:

"I just hit $5k MRR on [product]. For each person in my build-in-public view, draft a personalized update message using their name and any context I have about them. Keep it genuine, not a broadcast."

Tracking User Conversations Without an Interview Tool#

Most indie hackers do customer discovery in a scattered way — Zoom calls with notes in Notion, email threads, Twitter DMs. DenchClaw centralizes this.

After every user call, your voice note to Telegram becomes structured data:

"Just talked to Alex Park, free user, 3 months in. Main pain point: can't bulk export. Uses us for 30 mins a day. Would pay $29/mo if export was fixed. Referral potential high — he mentioned 3 people who'd use it."

The agent creates or updates Alex's entry, logs the note in his entry document, and if you've set it up, creates a task in Things 3: "Add bulk export to v2 roadmap (from Alex Park call)."

Over time, your users object becomes a structured database of everything you know about your early adopters — their pain points, their NPS, who referred them, how long they've been using you, and whether they'd be good candidates for a testimonial.

The MRR Investor Update Workflow#

Monthly investor updates are a relationship maintenance tool that most indie hackers under-invest in. DenchClaw makes them fast.

Set up a monthly cron job:

"On the first Monday of each month, query my users object for: total paid users, total MRR, new users this month, churned users this month, and biggest user wins. Format it as an investor update template and message me on Telegram so I can edit and send."

The agent generates a draft like:

"Monthly Update — March 2026

MRR: $8,400 (+12% vs February) Paid Users: 287 (+31 new, -4 churned) Highlights: Landed Acme Corp as first enterprise customer ($400/mo). Shipped bulk export (top user request). Featured in [publication name]. Next Month: Focus on onboarding improvements and first proper pricing test."

Edit it, add any personal context, send it to your investors list. The whole process takes 15 minutes instead of an hour.

Why Local-First Matters for Indie Hackers#

Here's the real reason DenchClaw makes sense if you're indie or bootstrapped: the relationship data you're building is valuable enough to own outright.

Your early users, your warm investor relationships, your press contacts — this is the network graph of your company. Storing it in HubSpot means HubSpot owns it operationally. They can change their pricing, go down, lock you out. Your most valuable strategic asset is behind someone else's paywall.

DuckDB on your laptop means this data is yours, forever, in a format you can query, migrate, back up, and analyze with any tool. When your startup hits product-market fit and you bring in a head of sales, you give them access to 2 years of relationship context — not a CSV export with missing fields.

The $0 SaaS Stack for Relationship Management#

Here's the full stack:

• DenchClaw (free, local): CRM, relationship tracking, notes, reports
• Gmail (free): Email, connected via the gog skill
• Telegram (free): CRM interface on mobile
• GitHub (free): If you're an OSS indie hacker, connect via the github skill
• clawhub.ai (free): Browse community skills for enrichment, integrations

Total monthly cost: $0. Total lock-in: zero. Total control: complete.

For an indie hacker managing 200 relationships, this is the right tool. It scales to 10,000 when you need it, and costs the same.

Frequently Asked Questions#

How is DenchClaw different from tools like Folk or Clay?#

Folk is a clean, well-designed personal CRM. Clay is a powerful data enrichment tool. Both are SaaS products with subscription pricing. DenchClaw is open source, local-first, and free — your data stays on your machine. It's also more extensible: you can build custom objects, apps, and automations that Folk and Clay don't support.

Can I use DenchClaw for both my startup CRM and a personal life CRM?#

Yes. The multi-profile feature lets you run separate instances — a work profile for your startup and a personal profile for life admin. Or run them in the same profile with separate objects — the schema is flexible enough.

What happens when I want to bring on a co-founder or first hire?#

Currently DenchClaw is optimized for solo and small-team use. Sharing access means sharing the same local instance (possible via a shared server) or waiting for DenchClaw Cloud's team workspaces feature (on the 2026 roadmap). For very early teams of 2, running a shared instance on a cheap VPS works well.

How do I migrate from Notion or Airtable to DenchClaw?#

The browser agent can export your Notion database or Airtable base. Ask: "Log into Notion and export my [database name] to CSV, then import it into DenchClaw as the [object name] object with these field mappings." The agent handles the browser automation and import.

Ready to try DenchClaw? Install in one command: npx denchclaw. Full setup guide →