Lead capture from Reddit, Discord and GitHub with hybrid LLM scoring and outreach drafts.
Project description
growth-tools
Automated lead capture from Reddit, Discord and GitHub — with hybrid LLM scoring and outreach drafts.
Built for dev-tool and SaaS companies that want inbound signal from developer communities without hiring a full-time growth team.
Quick start
# Clone and install
git clone https://github.com/nometria/growth-tools
cd growth-tools
pip install -e .
# Configure your environment
cp examples/sample-icp.env .env
# Edit .env with your API keys and brand config
# Run Reddit monitor (one-shot)
growth-reddit
# Run the website auditor API
growth-api
# or: uvicorn growth_tools.api.main:app --port 8000
# Run tests
pytest tests/ -v
Required environment variables (see examples/sample-icp.env):
OPENAI_API_KEY=sk-proj-...
REDDIT_CLIENT_ID=...
REDDIT_CLIENT_SECRET=...
BRAND_NAME="Your Product"
ICP_KEYWORDS="supabase,self-host,postgres,..."
What's included
| Module | What it does |
|---|---|
systems/reddit_capture.py |
Monitors subreddits, two-stage filter (keyword → LLM), saves hot leads |
systems/discord_bot.py |
Discord bot with per-channel cooldown, confidence threshold gating |
systems/website_auditor.py |
Detects tech stack from HTML/headers (Next.js, Vite, Supabase, Vercel…) |
systems/github_auditor.py |
Scans repos for migration readiness + competitor SDK lead capture |
systems/crm_sequencer.py |
LLM-generated outreach drafts (capped at 90 words for reply rates) |
core/scoring.py |
Hybrid rule + LLM scoring: 0.5 × rule_score + 0.5 × llm_intent_score |
core/llm.py |
OpenAI client with fallback model + tenacity retries |
config_loader.py |
YAML-based configuration (subreddits, keywords, thresholds, competitor SDKs) |
notifications.py |
Slack webhook notifications for hot leads (Block Kit format) |
api/main.py |
FastAPI: POST /audit/website, POST /audit/github, GET /health |
Scoring tiers
| Score | Tier | Action |
|---|---|---|
| ≥ 80 | hot | Immediate outreach |
| 60–79 | nurture | Add to sequence |
| 40–59 | educate | Send content |
| < 40 | ignore | Skip |
Rule signals: +25 high-intent builder (Lovable/Replit/Bolt/v0), +30 high-intent pain
(deploy/migrate/security/ownership), +20 has public repo, +25 mentions clients.
Blended 50/50 with LLM intent score.
Supabase schema
create table lead_signals (
id uuid primary key default gen_random_uuid(),
source text, -- 'reddit' | 'discord' | 'github'
title text,
body text,
url text,
author text,
intent_score int,
tier text,
builder text,
pain_type text,
reply_draft text,
created_at timestamptz default now()
);
Setup
git clone https://github.com/nometria/growth-tools
cd growth-tools
pip install -e .
cp examples/sample-icp.env .env
# Edit .env
Run
# Reddit monitor (one-shot)
growth-reddit
# Discord bot (persistent)
python -m growth_tools.systems.discord_bot
# Website auditor API
growth-api
# or: uvicorn growth_tools.api.main:app --port 8000
# Audit a specific website
curl -X POST http://localhost:8000/audit/website -H 'Content-Type: application/json' \
-d '{"url": "https://example.com"}'
YAML configuration
Create a growth.yml in your working directory (or set the GROWTH_CONFIG env var to a custom path):
subreddits: [webdev, SaaS, startups, replit, lovable]
keywords: [migrate, moving from, switching to, deploy, self-host]
scoring:
hot_threshold: 80
nurture_threshold: 50
# GitHub lead capture — SDK package names to scan for
competitor_sdks: [firebase, appwrite, amplify, convex, pocketbase]
Every value falls back to an env var if the YAML key is absent, and then to a built-in default:
| YAML key | Env var fallback | Default |
|---|---|---|
subreddits |
GROWTH_SUBREDDITS (comma-separated) |
7 built-in subs |
keywords |
GROWTH_KEYWORDS (comma-separated) |
12 built-in keywords |
scoring.hot_threshold |
GROWTH_HOT_THRESHOLD |
80 |
scoring.nurture_threshold |
GROWTH_NURTURE_THRESHOLD |
50 |
competitor_sdks |
GROWTH_COMPETITOR_SDKS (comma-separated) |
7 popular SDKs |
Install the optional YAML dependency: pip install growth-tools[yaml] (or pip install pyyaml).
Slack notifications
Hot leads (score >= hot_threshold) are automatically posted to Slack when SLACK_WEBHOOK_URL is set.
export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/T.../B.../xxx
Each notification is a rich Block Kit message showing score, tier, builder, pain type, source, and a direct link to the lead. Notifications use only urllib (no extra dependencies).
You can also call the notification API directly:
from growth_tools.notifications import send_slack_notification, notify_if_hot
# Send for any lead
send_slack_notification(lead_dict)
# Send only if score >= threshold
notify_if_hot(lead_dict, hot_threshold=80)
GitHub lead capture
The GitHub auditor now includes competitor SDK scanning. It searches GitHub for repos that import competitor SDKs and scores them as potential migration leads.
# CLI: scan for repos importing competitor SDKs
python -m growth_tools.systems.github_auditor --scan
python -m growth_tools.systems.github_auditor --scan firebase,appwrite
# Python API
from growth_tools.systems.github_auditor import search_competitor_sdk_repos
leads = search_competitor_sdk_repos(
competitor_sdks=["firebase", "appwrite"],
max_results_per_sdk=30,
min_score=20,
)
Repos are scored 0-100 based on stars, size, recent activity, and engagement. Configure the SDK list via competitor_sdks in growth.yml or the GROWTH_COMPETITOR_SDKS env var.
Requires GITHUB_TOKEN for authenticated code search (unauthenticated requests are rate-limited).
Customise
Target subreddits — set in growth.yml or GROWTH_SUBREDDITS env var
Lead scoring — edit weights in core/scoring.py or adjust thresholds in growth.yml
Outreach tone — edit prompts in core/llm.py
Competitor SDKs — set in growth.yml or GROWTH_COMPETITOR_SDKS env var
Immediate next steps
Make subreddits + keywords configurable via env / YAMLDoneAdd GitHub lead capture (scan repos that import competitor SDKs)DoneAdd Slack notification on "hot" leadsDone- Package as
pip install growth-tools
Commercial viability
- Open-core: open source the capture + scoring, charge for the CRM sequencer
- SaaS: $200–500/mo per team for managed lead pipeline
- Competitors: Trigify, Drippi — neither does GitHub + Reddit + LLM scoring combined
Example output
Running pytest tests/ -v:
============================= test session starts ==============================
platform darwin -- Python 3.13.9, pytest-9.0.2, pluggy-1.5.0
cachedir: .pytest_cache
rootdir: /tmp/ownmy-releases/growth-tools
configfile: pyproject.toml
plugins: anyio-4.12.1, cov-7.1.0
collecting ... collected 4 items
tests/test_brand_config.py::test_brand_name_reads_from_env PASSED [ 25%]
tests/test_brand_config.py::test_brand_tagline_reads_from_env PASSED [ 50%]
tests/test_brand_config.py::test_icp_pain_reads_from_env PASSED [ 75%]
tests/test_brand_config.py::test_no_hardcoded_brand_names_in_source PASSED [100%]
============================== 4 passed in 0.03s ===============================
See examples/sample-leads.json for representative scored lead output and examples/sample-icp.env for required environment variable configuration.
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