Free, open-source Apollo alternative: find anyone, verify deliverably (7-signal engine), write and send cold email — local-first, keyless, $0. Pluggable public-data sources, a chat CLI, and a local web dashboard.
Project description
🧲 OpenLeads
Apollo for everyone. For $0.
Find founders, developers, doctors, researchers — anyone — verify their email deliverably, write the cold email, and send it. Free, open source, keyless, and entirely on your machine.
Apollo, Hunter, RocketReach, and ZoomInfo sell the same two things: a contact database and email verification — then upsell you the sending. OpenLeads is the whole stack, inverted and free.
A universal
entity → verified email → cold email → sentmachine, fed by a registry of pluggable, keyless, public data sources — running entirely on your laptop.
v3 is the ultimate update. v2 found and verified leads. v3 closes the loop: it writes the email and sends it, behind a deliverability engine that beats Hunter & Apollo's free tier — all for $0, with a zero-dependency core, and no data ever leaving your machine.
$ openleads run "50 AI founders in SF, verified only" --live
[engine] source=yc — searching…
safe ada@acme.ai Ada Lovelace · Founder · 96
safe grace@cobol.dev Grace Hopper · CEO · 91
risky j.doe@stealth.io J. Doe · — · 58 (held back)
[engine] done — 41 safe · 9 risky
[write] drafting 41 personalized emails…
[outbox] sender grade A · warmup day 6 · 40/day
sent → ada@acme.ai «quick idea re: your launch»
→ 40 sent · 1 held (cap) · 0 bounced
✨ The four clicks
The painful multi-tool workflow — scrape in A, verify in B, enrich in C, load into sender D, warm up in E — collapses into one local app + CLI:
| 1 · Find | Describe who you want in plain English. | Keyless public sources → resolved emails. |
| 2 · Write | Personalized, spam-linted, plain-text drafts. | Free LLM or sharp template — edit anything. |
| 3 · Connect | One-time mailbox setup with provider presets. | A preflight grades your SPF/DKIM/DMARC. |
| 4 · Send | Throttled, warmup-capped, suppression-aware. | One-click unsubscribe headers. No tracking pixels. |
Do it in the terminal (openleads run …), in the chat REPL (openleads), or in the local web dashboard (openleads web).
🖥️ The local dashboard
openleads web # opens http://127.0.0.1:8787 — no Node, no build, no cloud
A hand-built single-page app served by a stdlib HTTP server bound to localhost. Find, Leads, Compose, Send, CRM, Settings, and Doctor — with the four-click path front and centre and results streaming in live. Black-and-white with hints of red, reduced-motion aware, and nothing leaves your machine. See docs/web.md.
📡 Why the emails actually land
Most free finders verify with a single SMTP RCPT probe over outbound port 25 — which home ISPs and most clouds block. When it's blocked, every address silently degrades to a first.last@domain guess and your campaign bounces. That was v2's #1 failure.
v3 cross-checks seven independent signals — most needing no port 25 at all — then gates honestly into three tiers so you only send what's likely to land:
| Signal | Needs port 25? |
|---|---|
| MX consensus — two DoH resolvers must agree | no |
| SPF · DMARC · provider class — TXT lookups | no |
| Disposable / role / free-provider — static lists | no |
| Gravatar existence — md5 → 200/404 | no |
Ground-truth harvest — real emails from GitHub commits, mailto:, security.txt |
no |
| Learned domain patterns — compound across every run | no |
SMTP RCPT + catch-all double-probe |
yes (graceful when blocked) |
→ safe (send it) · risky (kept, held back by default) · bad (dropped). Every lead carries an explainable 0–100 score and a reasons[] list. Deep dive: docs/deliverability.md.
🆚 vs. the free tiers
| OpenLeads | Apollo / Hunter (free) | |
|---|---|---|
| Cost | $0, forever | credit-limited, then paid |
| API key required | ❌ none | ✅ required |
| Who you can find | founders, devs, doctors, researchers + any vertical you plug in | their database only |
| Email verification | ✅ 7-signal consensus + 0–100 score | paid feature |
| Writes the email | ✅ free LLM or template | ❌ / upsell |
| Sends it for you | ✅ warmup, throttle, suppression | upsell |
| Where it runs | 🔒 your machine, no data leaves | their cloud |
| You own the code | ✅ readable, hackable | ❌ black box |
| Core dependencies | zero (stdlib only) | — |
🚀 Install
# Python (recommended) — zero-dependency engine + the full local app
pip install "openleads[all]"
# minimal: just the engine + plain CLI
pip install openleads
Prefer Node? A thin wrapper runs it via npx (it installs the Python package on first use):
npx openleads find "50 fintech founders verified only"
# or: npm i -g openleads
Try it in 10 seconds:
pip install "openleads[all]"
openleads doctor # check your finding + sending setup
openleads web # launch the local dashboard
# …or stay in the terminal:
openleads # the interactive chat — just type what you want
openleads --version should print openleads 3.0.0. Full walkthrough: docs/quickstart.md.
⚡ Commands
# find + verify (deliverable only)
openleads find "50 fintech founders, verified only" --out leads.csv
openleads find --source npi --keyword pediatric --location CA --format json
# the whole pipeline: find → write → send (dry-run unless --live)
openleads run "rust developers in Berlin"
openleads run "20 SaaS founders" --live
# pieces of it
openleads write "10 AI founders" -o drafts.json # just draft
openleads send "10 AI founders" --live # find → write → send
openleads verify ada@acme.io grace@cobol.dev # verify concrete addresses
# manage
openleads sources # what you can search
openleads crm # your local CRM (leads + touches + status)
openleads config # set keys, mailbox, sender identity, send limits
openleads doctor # health-check finding + sending
openleads inbox # scan IMAP for replies & bounces (optional)
Sending is dry-run by default everywhere — add --live to actually send. The finder never touches your mailbox.
💬 The chat CLI
openleads chat (or just openleads) opens a Claude-Code-style REPL. Type in plain English and refine conversationally — now with /write and /send too:
openleads> pediatricians in California, verified only
openleads> /source github
openleads> machine learning researchers as ndjson
openleads> /write # draft emails for the safe leads
openleads> /send --live # send them (with a confirm)
Works fully offline via a rule-based parser (no key needed). Set OPENROUTER_API_KEY (a free model works) to upgrade free-form parsing and AI drafting.
🧩 Sources (and adding your own)
$ openleads sources
github [people ] developers & open-source orgs
hn [company] companies hiring now (Hacker News)
npi [people ] U.S. doctors & healthcare providers
openalex [people ] researchers & academics
producthunt [company] trending products & startups
yc [company] startup founders (Y Combinator)
New in v3.1 — better leads, faster.
hnmines Hacker News' monthly "Who is hiring?" thread for companies hiring right now — real domains and, very often, direct apply emails that land assafeinstantly. Thegithubsource was rebuilt to return real, contactable developers (no more topic/org junk), and the engine now resolves emails concurrently and fails fast with a clear message instead of grinding for minutes. Try:openleads find --source hn -n 25.
All keyless and free. Want a vertical we don't ship — recruiters, lawyers, real-estate agents, your CRM export? Drop a *.py file in ~/.openleads/sources/:
from openleads.sources.base import Source
from openleads.models import Entity, Query
class LawyersSource(Source):
name, kind, vertical = "lawyers", "people", "attorneys"
description = "State bar directory."
def search(self, query: Query):
for row in fetch_from_some_free_directory(query):
yield Entity(full_name=row["name"], organization=row["firm"],
domain=row["firm_domain"], source=self.name)
Run openleads sources and it's there. The email engine handles the rest. Guide: docs/sources.md.
🔒 Local-first by design
No hosted backend. No accounts. No tracking. Your leads, drafts, mailbox credentials, learned patterns, and CRM all live in a local SQLite file under ~/.openleads. The engine talks only to public data sources and your mail server. Secrets are stored chmod 600 and never sent back to the browser.
🔍 How it works
flowchart LR
Q[Your request<br/>chat · CLI · web] --> I[Intent parser<br/>rule-based ± free LLM]
I --> S[Source plugin<br/>yc · github · npi · openalex · …]
S --> E[Deliverability engine<br/>7 signals → score → tier]
E --> W[Compose<br/>spam-linted draft]
W --> P[Preflight<br/>SPF/DKIM/DMARC + warmup]
P --> D[Send<br/>throttled · suppression-aware]
D --> C[(Local SQLite<br/>CRM · patterns · cache)]
E <--> C
Same path is invoked by the CLI, the chat REPL, and the web dashboard. Architecture: docs/architecture.md.
🧭 Responsible use
OpenLeads is for legitimate outreach, recruiting, research, and prospecting. Some verticals carry extra weight — healthcare providers (NPI), academics — so please read docs/responsible-use.md. You are responsible for anti-spam law (CAN-SPAM, GDPR, CASL) and each source's terms. v3 ships the guardrails (suppression, one-click unsubscribe, warmup caps, dry-run defaults); using them well is on you.
🗺️ What's new in v3.0
- ✅ Multi-signal deliverability engine — 7 signals, mostly no port 25, honest
safe/risky/badtiers - ✅ Writes + sends — drafting, provider presets, preflight, warmup, suppression, follow-ups
- ✅
openleads run— find → verify → write → send in one command - ✅ Local web dashboard (
openleads web) — no Node, no cloud - ✅ In-app config +
doctor— no dotfile editing - ✅ Local CRM, dedupe, learned patterns that compound across runs
See the full CHANGELOG.
🤝 Contributing
PRs very welcome — see CONTRIBUTING.md. The highest-impact contribution is a new source plugin (guide) — that's literally how OpenLeads becomes "Apollo for everyone."
📄 License
PolyForm Noncommercial 1.0.0 — free for personal, research, educational, and nonprofit use. Commercial use? See COMMERCIAL-LICENSE.md.
🙏 Acknowledgements
yc-oss/api · OpenAlex · NPI Registry · GitHub & ProductHunt public data · Gravatar · and everyone who has ever rage-quit a "request a demo" button.
If OpenLeads saved you a subscription, consider leaving a ⭐ — it genuinely helps.
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