We saved $260M in cash for cos. like Meta, Unilever, and J&J by finding baseless charges across 19M+ invoices.
Now, we've raised $75M to extend our guarantee: if we can't find $500K in overpaid invoices, we'll pay you $10K.
Book a demo: https://t.co/FbUCc391D5
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How it works ⬇️
PROBLEM:
A Fortune 500 gets a million invoices a year. Most of them are for a couple hundred dollars.
Checking one properly means opening the contract, pulling the rate card, matching the PO, and hunting down the bill of lading that proves the shipment moved the way the carrier says it did.
All of that work to defend $200. So nobody does it.
The pile goes to a human. The human audits only a sample (12%) and pays the rest (88%) blindly. That's where the money goes.
At a pharma co, we found an uncontracted surcharge billed across global carriers for two years. $26M nobody questioned, because every individual line looked ordinary.
Each surcharge is small enough that escalating it costs more than paying it. And there are a million of them.
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SOLUTION:
Freehand’s AI reads everything: every line of every invoice, against every contract, rate card, transaction data, bill of lading, warehouse record, time sheet, and email exchange between you and the supplier. It also analyses every past invoice, and transaction data with that supplier,
ever.
It holds all of this knowledge in a Context Graph. When an invoice arrives, it knows what you should pay, what actually shipped, if the service was delivered or not, what the SLA was, and what this supplier billed you for the same service last quarter.
Then it proactively:
> writes up the dispute with the evidence attached
> emails the supplier
> calls her when the email goes quiet
> Slacks your purchases team for more information
> Follows up until the invoice comes back corrected.
> Approves the correct invoice
> Pays it across different currencies and tax structures
> And accrues the right amount to your general ledger
Freehand’s will do all of that to recover $20, because it is doing it across all millions of invoices at the same time, saving 5-10% of company spend with 100% SOX compliance and auditability.
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🚨 RT + reply "FREEHAND" and we'll send you the AI upskilling guide that's already helped 750+ displaced workers move into more secure, higher-paying AI-native roles through Freehand's Transition Bootcamp.
@CoderUday House Owners, restaurants, clubs, malls and property builder want us to be here so they can benefit from us.
They are the powerful class and they have a voice compared to the working class.
Average Codex users:
> keeps getting rate-limit resets
> gets 10% more usage
> 5-hour cap temporarily disappears
> codex keeps working until the task is finished
> Sleeps peacefully
Average Claude Code users:
> Watches the weekly limit disappear in real time
> Hits the cap halfway through the task
> Claude stops immediately
> Begs Anthropic for another rate-limit reset
> Anthropic announces another “final” extension
> Starts panic-coding before access disappears again > Ends up in the hospital
cluely hit $7m/year posting AI-generated corporate memes
seriously
no influencers
no production team
no fancy editing
just slideshows of exhausted office workers with captions like:
"when your manager schedules a meeting to discuss the meeting about the meeting"
so i documented the ENTIRE case study behind it after reverse engineering 10 of their accounts for 5+ hours...
here's what's inside:
→ why silly content consistently outperforms professional content
(and why polished marketing activates skepticism almost instantly)
→ the psychology behind the "advertising recognition reflex"
→ the exact slideshow format responsible for millions of views
→ the chatgpt images prompts used to generate the visuals
→ the text overlay formulas that make people immediately send the post to a friend
("when...", "nobody talks about...", specific-number hooks, absurd reframes)
→ the 4-frame slideshow structure with the highest swipe-through rates
→ how to adapt the model to productivity, dating, fitness, finance, wellness, and almost any other niche
→ the account setup that turns silly content into actual revenue
→ the production workflow that takes 5-10 minutes per post
→ the volume strategy behind 10-20 posts per day
→ the CPM math showing how a format this simple can generate serious income
→ the exact content framework that helped turn a slideshow account into a $7m/year business
all from my research into one of the simplest and most replicable content models i've seen this year
like + comment "CLUELY" and i'll send you the full breakdown
(must be following + RT for priority access)
will stop sending these out in 24h
I went to a conference of over 100+ people selling digital products, each person making 7 to 9 figures per year (in Miami)
I've never felt so behind and broke even tho im making millions already
people were making millions with ebooks and courses on a variety of topics/niches: Ecom, Tik Tok shop, websites, etc
I've gathered some secret business methods including :
1) how they're getting millions of views per week
2) converting those views into $3K+ sales daily
3) how to automate the entire thing and build systems
4) breakdown example of posts and products sold
5) show you how many sales, sales calls, entire funnel
6) case studies : how complete beginners scaled to $100K+ per month within 8 months with the right methods
7) and how you can get started :)
comment "HOW" if you want this
must be following + retweet to receive