CRM and No Code Tools for Business
Tl;DR
Tired of spreadsheets?
Aiming for Higher ltv, higher cac?
Intro
You can just use classic spreadsheets.
Or level up with: https://www.quadratichq.com/
Source Open | Infinite spreadsheet with Python, SQL, and AI.
docker build -t quadratic --platform=linux/amd64 .You can go for a full fledge CRM.
Or…with No Code DBs x BaseRow?
CRM
Should you use GHL? Close?
Overkill with salesforce or hubspot?
Why dont you try Twenty?


Note Tools
For PDFs you have:
agpl | Take potentially dangerous PDFs, office documents, or images and convert them to safe PDFs
Notion? Obsidian?
Or…
Why not just Affine?

You can also try the official one even w/o an account: https://app.affine.pro/

Or the good old note apps like: Joplin or LogSeq?
- https://github.com/logseq/logseq/pkgs/container/logseq-webapp - This will be very light weight
wget -P ~/Applications https://github.com/logseq/logseq/releases/download/0.10.15/Logseq-linux-x64-0.10.15.AppImage| Aspect | Logseq | Affine | Joplin |
|---|---|---|---|
| Storage | Flat Markdown files (git-native) | Database/blocks (export MD) | SQLite (export MD) slashdot |
| Paradigm | Block outliner, bi-links, queries | Canvas + docs + DBs (Notion-like) | Hierarchical notebooks/tags zblesk |
| Web Access | Docker/self-host (limited plugins) | Native web/self-host (full) | No native web editor discuss.logseq |
| Integrations | 500+ plugins, HTTP API, Readwise | API/collab focus | Plugins, E2E sync (Dropbox) logseq.github |
| Self-Host | Docker + git volume | Full Docker/server | Server CLI (no UI) discuss.logseq |
| Best For | PKM graphs, solo dev (you) | Visual teams/projects | Simple encrypted notes youtube |
| Mobile | Good Android/iOS | Beta web/mobile | Strong cross-platform slashdot |
| Learning Curve | Medium (queries/templates) | Low-medium | Low zblesk |
See also memos: https://github.com/usememos/memos which is also markdown native and MIT.
And be prepared for more vibe coded tools to appear, like: https://github.com/OlaProeis/ironPad
Ironpad is a local-first, file-based project management system I’ve been building with AI. Rust backend (Axum), Vue 3 frontend, markdown files as the database, Git integration for versioning
If you are starting out some new business adventure: logseq + markdown + git can be your friend.
Plus, you can use it via Nekko in few environment via web.
And get away with firefliesAI webhooks syncing your meeting notes/sales speech feedback right into it.
#https://github.com/JAlcocerT/my-logseq-notes
#cd scripts
python3 verify_connection.py
python3 backfill_meeting.py 01Kabcdef12446579
#~/Desktop/my-logseq-notes/scripts$ docker compose up -d
sudo tailscale set --operator=$USER
#tailscale funnel 5000
tailscale funnel --https=443 localhost:5000
tailscale serve status
#openssl rand -base64 12 #for webhook secretYou will get some https://tailscaleuserdevice.tail123456.ts.net/ to connect to fireflies AI webhooks.
Some people use Logseq export x GHA x HUGO to make their websites :)
git clone https://github.com/JAlcocerT/my-logseq-notes
sudo docker compose -f ./z-homelab-setup/evolution/2602_docker-compose.yml up -d logseq
#https://github.com/imputnet/helium-linux/releases
sudo docker compose -f 2602_docker-compose.yml up -d neko
#sudo docker compose -f ./z-homelab-setup/evolution/2602_docker-compose.yml up -d nekoFrom there you can have a part for: book ideas, business requirements, sales, daily notes / journal…
Conclusions
As long as u understand consumer…u see how much risk/uncertainty averse we are
Consulting Services
DIY via ebooksTu dinero es una commodity, mi tiempo no.
Plus: Si atiendes a cualquiera = no escasez = eres malo.
Just clean up:
lazydocker
docker system df
#docker stop $(docker ps -a -q) #stop all
#docker system prune -aA cool workflow from a landing?
- Get a landing or service and collect qualified leads
The magic happens at this gha workflow
graph TD
%% Entry Point
Start((Google Ad: $10/day)) -->|Click| LP[Landing Page: 'Get Your Free QR']
%% Onboarding & Personalization
LP -->|Sign Up: Firebase Auth| Onboarding{Onboarding Form}
Onboarding -->|Input Names & Date| GenEngine[Logic Engine: Generate Slug]
GenEngine -->|Create Path| Slug[Static URL: /alice-bob-june20-x9j2]
GenEngine -->|Embed URL| QRGen[Generate QR with Couple Branding]
%% The 'Aha' Moment
QRGen --> Dash[Dashboard: 'Your Wedding QR is Ready']
Dash -->|Immediate Action| TestScan[Couple Scans QR to Test]
TestScan -->|Upload Selfie| R2_Trial[(R2 Bucket: Trial 1GB)]
R2_Trial -->|Instant Feedback| LiveView[360 Gallery: Couple sees their selfie]
LiveView --> Wow((THE AHA MOMENT))
%% Conversion Path
Wow -->|High Intent| Paywall[Payment Page: 299-349 PLN]
Paywall -->|Stripe Success| Unlock[Unlock: 250GB + 14-Day Upload Window]
%% Failure/Exit Path
Wow -->|No Payment| Exit[Stalled User]
Exit -->|Automated| Email[PostHog Trigger: Weekly Email Nurture]
Email -->|Reminder| Paywall
%% The Wedding Day (The Real Event)
Unlock -->|Wedding Date| GuestLoop[Guests Scan QR at Wedding]
GuestLoop -->|Upload| R2_Full[(R2 Bucket: Full Access)]
R2_Full -->|Viewer| CoupleGallery[Private 360 Gallery Access]
%% Tracking Layer
subgraph PostHog_Tracking [Analytics Tracking Points]
Onboarding
TestScan
Paywall
GuestLoop
end
%% Styling
style Start fill:#f9f,stroke:#333
style Wow fill:#ff9,stroke:#333,stroke-width:4px
style Slug fill:#e1f5fe,stroke:#01579b
style Unlock fill:#c8e6c9,stroke:#2e7d32
style R2_Full fill:#00ccff,stroke:#333With the information they provided do the following…
…move water through your sales pipeline!
To articulate this effectively, you need to pivot from “I’m writing scripts” to “I’m building an Autonomous Revenue Engine.”
In the eyes of a Business Development Lead like Arthur, GTM (Go-to-Market) Engineering is the “holy grail” because it moves AI from a toy (ChatGPT) to a tool (automated pipelines).
Here is how to frame your specific stack using the terminology from the summit:
- The Value Proposition (The “Elevator Pitch”)
Instead of listing tools, describe the flow of value:
“I’m building a modular GTM stack that automates the transition from ‘unstructured signal’ to ‘personalized outreach’ without human intervention.”
- Breaking Down the Stack for RevOps
When Arthur asks how it works, explain it as a three-stage orchestration:
The Discovery Layer (Firecrawl + Apify):
What to say: “I use Firecrawl and Apify to solve the ‘Data Freshness’ problem. Instead of relying on stale CRM data, I programmatically scrape real-time triggers—like new product launches or Reddit discussions—to feed the ‘Answer Engine’ context.”
The Insight Layer (Fireflies.ai):
What to say: “I integrate Fireflies.ai to pull RevOps intelligence from actual sales calls. This allows the system to ’learn’ the common objections and successful talk tracks, which then informs the tone of the automated outreach.”
The Orchestration Layer (GitHub Actions + APIs):
What to say: “I use GitHub Actions as my orchestration engine. It treats GTM like software—it’s version-controlled, scheduled, and highly scalable. It triggers the programmatic drip campaigns via API based on the logic processed in the previous layers.”
How this maps to RevOps (The “Business Speak”)
“Why build it this way?” use these points to show you’re an entrepreneur:
| Technical Feature | RevOps / GTM Benefit |
|---|---|
| GitHub Actions | Zero Infrastructure Overhead: High-frequency automation that runs in the background without needing a dedicated server. |
| Programmatic API Drips | Hyper-Personalization at Scale: Moving beyond “Hi [First_Name]” to “Hi [Name], I saw your recent comment on Reddit regarding [Topic]…” |
| Fireflies Integration | Closing the Feedback Loop: Sales insights are automatically fed back into marketing copy, ensuring the “Brand Voice” stays human. |
FAQ
You can give it a try to pocketbase as well