Swapnil retweetledi
Swapnil
4.6K posts
Swapnil retweetledi
i'm gonna regret leaking this but fuck it
15 lead sources that ARENT apollo
took me 4 hours to put together 40 pages of where i actually find leads
- tweet scraper (40K emails → 355 opportunities from ONE source)
- the shopify app review trick
- how to find leads who just raised money
- the google maps play for local
- sources for ecom, agencies, SaaS, local
after sending 1,000,000+ emails these are the sources that ACTUALLY work
like + comment "LEADS" and i'll send it over
(must follow + RT for priority access)
English
Over a year ago, I was sub $5k/mo trying to sell 7 different services at once.
A few months ago, my agency hit $200,000/mo.
Thing is...
I’m not special, and ANYONE can copy me given they put in the work.
Most agency owners I speak to keep running the same playbook that got them their first few clients… and wonder why it hasn’t gotten them to 50k.
They don’t realize:
- The offer that signs your first 3 clients won't land client 15.
- The lead gen that works at $10K breaks at $50K.
- The one-man delivery model that felt "scrappy" at $5K turns into 80-hour weeks at $30K
EVERY revenue stage has completely different rules.
And if you don't know what to change at each level, you will never ascend past that 30k mark.
Then, you’ll start to doubt yourself.
Next, you’ll spiral.
Eventually, you’ll quit.
Or worse… stay complacent.
You’ll say:
“Yeah $30k a month is actually quite good”
“I’m out of fulfilment so life is chill”
“I don’t really want to scale”
You’re better than that.
So I broke down EXACTLY what changes at each stage from $0 to $100K+/month.
This video will give you the step-by-step roadmap I took MYSELF to go from 0→ 6 figs/mo.
Inside, I go over everything you need:
(1) Performance-based offer structure for $0-10K and why retainers kill you early
(2) Dream 100 lead gen & why you should hit 54 personalized contacts per day
(3) When to start running ads and stacking offers at the $30-70K stage
(4) Hiring your first A-player without wrecking margins
(5) Fulfillment operating systems that let you scale without destroying delivery
Want the full breakdown?
Comment "BLUEPRINT"
And I'll DM you the link.
(must be following for DM)
GIF
English
i used to run a lead gen agency booking calls for other people's businesses
it was going well, until i realized the guys i was booking calls for were bleeding deals because their closers were ass
i'd send 30 qualified appointments a month and watch a $50k opportunity get fumbled by someone who panicked the second a prospect said "let me think about it”
so i started quietly fixing it
placed a closer here, recruited a setter there, did it for free because i wanted to see what happened.
8 months of doing that for nothing and business owners were hunting me down asking if i could find them people.
that's when it clicked.
the actual bottleneck in online business isn't leads. leads are almost never the problem. the problem is what happens to the lead once they're in the room.
are they showing?
getting nurtured?
properly treated?
and nobody talks about it because lead gen is sexy and recruiting feels like boring operations.
i killed the agency and went all in on placing closers and fixing sales teams soon after
placed over 130 reps since.
tripled a client's revenue without touching their lead volume.
took another from 30k to 90k in under 60 days.
$3M+ generated as a whole
the pivot felt risky but it was the smartest thing i have ever done.
and i’m telling you this to reintroduce myself after months of not being active on X
now i’ll be sharing everything i’ve ever learned about sales in this time
everything from:
- pre-call sequences
- recruiting
- training
- tracking
- handling objections
- crafting killer offers
- tonality
- mirroring
- etc
just wanted to let you know that MASSIVE sauce is incoming
giving out value where people lack is exactly why i got into high ticket b2b sales in the first place
will fulfill on that now
don’t miss out
satyam
English
My team BEGGED me not to release this...
Just packaged the exact offer structure I use to close $25K–$40K/month contracts consistently
Covers:
- the 3-part offer structure (base + pass-through + kicker) that makes 5-figure deals feel obvious
- the pilot-to-retainer conversion that closes skeptical buyers in 15 days
- word-for-word scripts for the 3 objections that kill deals
RT + follow & comment “OFFER” and I’ll send it”
English
Companies pay me to build multi-million dollar automated systems.
But this CRM is yours for $0:
I've been engineering for 22 years.
Built systems for Nestle. Mars. Coal mines. Pharma. Across 4 countries.
I've built more scaled and robust systems than most people on this app combined.
And when I started helping digital businesses grow...
I realized one thing:
Most CRMs are overcomplicated TRASH.
So I built a no-code, open-source CRM that does exactly what you need.
Here's what you get for free:
• Auto-deal creation from your calendar (Calendly, HubSpot, GHL compatible)
• Deal source tracking with visual breakdowns
• Average calls to close and days to close metrics
• Follow-up automations (call, SMS, reminders)
• Domain blacklist to filter out existing clients
• MRR/LTV tracking with fully customizable graphs
• Complete code + installation walkthrough
1,000s have already downloaded and are LOVING it.
Want access?
• Comment "CRM"
• Connect with me (so I can DM you the link)
And I'll DM it to you!
PS - It's 100% open-source. You can rip it apart and rebuild it however you want. That's the whole point.
English
We were Clay's largest user at one point in time, hitting their platform 17.3 million times per week. Last month we replaced them entirely with a $200/mo Claude Code subscription.
I can't write code. Neither can James, my VP of Growth who built the replacement.
Here's the full story.
Clay is a GREAT product and I TRULY think most people should use it. But we hit their ceiling.
50,000 row limit per table.
12.5 million row cap per workspace.
Tables that take days to actually delete.
Clicking "run all" thousands of times and waiting days for things to clear out.
So
When you're processing millions of leads, all the above become the bottleneck of your entire business.
James had never touched Claude Code before. Three weeks after learning it, he built our entire core system.
With Clay, processing 1 million leads took 27 hours.
And it would error out often enough that we would always have to plan on hitting the “run all rows” button again on 20+ clay tables. IYKYK
but
Our new system waterfall enriches 1 million leads in 5 seconds. 272,000 leads PER SECOND.
AND On top of the core engine, we vibe coded a Google Maps scraper that pulls leads zip code by zip code across all 32,000 US zip codes.
AND An AI lead finder that hits 95% contact match rates where Apollo gives you about 30%.
AND Ad library scrapers for Google and LinkedIn.
AND An AI campaign analysis system.
AND An auto-refill system so clients never run out of leads mid-campaign.
One we started building with Claude, we just couldn’t stop
Now we have the data ready for clients sending 5 million emails a month within 1 week of signing the contract.
I put together the full system blueprint -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works.
Retweet or Reply CODE below and I'll DM it to you.
English
@mattceras Are you verifying these leads after scraping or it works directly- cause it says it already verified by bounce ban
English
Been trying to put all the homies onto the ai ark data, you can see it clear as day from two days of using apollo data vs the following three days of ark data
- higher # of human replies than bounced emails
- # of positive replies on the same volume is ~3-4x
- significantly less OOO replies from people that retired or changed jobs
- In-platform verification w/ catch alls
And still almost as cheap as the old apollo scrapers
Not affiliated but just want to point out a good tool when I come across it
English
I just personalized 1 million emails with Claude Code.
I didn’t use any enrichment platforms. Here’s my 14-step workflow:
1. Install Python 3.11+
2. Create a GitHub account
3. Install Claude Code
4. Create API keys:
→ Anthropic (Claude)
→ Proxy (IPRoyal or Bright Data)
→ Company data (Clearbit, Apollo, Crunchbase)
→ Email verification (NeverBounce or Reoon)
→ Storage (AWS S3 or GCS)
→ Database (Neon, Supabase, Railway)
→ Outreach tool (Instantly, Smartlead, etc.)
→ CRM (Attio, HubSpot, etc.)
5. Create a new GitHub repo (“Enrichment”) and clone locally
6. Open terminal in the repo and launch Claude Code
7. Tell Claude your constraints:
→ Respect robots.txt
→ Rate limit requests
→ Make it resumable
8. Paste this prompt:
“Build a Python project that:
– Takes input.csv with linkedin_url, website_url, or company_name
– Fetches website, careers, blog, pricing
– Extracts: hiring signals, pain signals, and 1-sentence personalization hook
– Outputs output.csv
– Supports concurrency, retries, logging, resume-from-last-row”
9. Test locally:
pip install -r requirements.txt
python main.py --input input.csv --limit 10
10. Review output.csv and confirm hooks look good
11. Tell Claude to productionize it:
→ Env vars
→ Backoff + retries
→ Caching
→ Timeouts
→ do_not_contact flag
→ Unit tests
12. Deploy on Railway → connect repo → add API keys → deploy worker
13. Upload lead CSV → process in chunks → download enriched output.csv
14. Push enriched leads directly into your outreach tool
You now have fully personalized leads at scale. No enrichment platforms required.
Found it helpful? I run a GTM community where we share free playbooks and workflows like this weekly.
Reply “JOIN” and I’ll send you an invite.
English
4,073,000+ companies and 2.8m founders and execs organized into targetable lead lists.
No scraping. No cleaning. Just plug and play.
I took 2 massive company database and segmented it into 13 industry-specific lists.
Here's what's inside:
→ 817K Software & Technology companies
→ 746K Diversified/Other industries
→ 551K Manufacturing & Industrial
→ 352K Healthcare & Life Sciences
→ 294K Media & Entertainment
→ 292K Real Estate companies
→ 270K Financial Services
→ 189K Professional Services
→ 189K Retail & E-commerce
→ 128K Education companies
→ 101K Food & Beverage
→ 75K Transportation & Logistics
→ 64K Energy & Utilities
BONUS data included:
→ 2.8M Executives & Founders (C-suite, directors)
→ 765K Funding Rounds (seed to IPO)
→ 582K Investors (VCs, PEs, angels)
→ 6,500 Strategy Consulting firms (McKinsey-types)
8.5M+ total records across 151 files.
Each list includes: Company name, description, website, location, employee count, LinkedIn, industry, ownership status, funding data.
Perfect for cold outreach, market research, or building your ICP.
Like + Comment "LISTS" and I'll send you the drive link.
Gotta be following to receive DM.
English
I have a few daycare businesses for sale. Each doing $1-$3MM annually.
Super high margin, low overhead, very centralized.
DM's open for anyone interested.
English