@Mauro_Botanes@mikey_starts Hi Mauro - Quick q is there a way to run this using a cloud phone farm set up? Seems incredibly difficult to get it to work. But buying physical phones doesn’t seem sustainable - especially not if you‘re not in the US
@Mauro_Botanes Hi Mauro - Quick q is there a way to run this using a cloud phone farm set up? Seems incredibly difficult to get it to work. But buying physical phones doesn’t seem sustainable - especially not if you‘re not in the US
@alexcooldev Hi Alex - Quick q is there a way to run this using a cloud phone farm set up? Seems incredibly difficult to get it to work. But buying physical phones doesn’t seem sustainable - especially not if you‘re not in the US
@_mattwelter Hi Matt - Quick q is there a way to run this using a cloud phone farm set up? Seems incredibly difficult to get it to work. But buying physical phones doesn’t seem sustainable - especially not if you‘re not in the US
@_mattwelter Hi Matt - Quick q is there a way to run this using a cloud phone farm set up? Seems incredibly difficult to get it to work. But buying physical phones doesn’t seem sustainable - especially not if you‘re not in the US
@athcanft How do you scale this up tho? We have been trying to build a vloud phone farm with dedicated residential IPs and it’s been difficult as TikTok bot protection is insanely good. Or you don’t and just use a couple local devices?
Every abandoned subdomain on the internet is a honeypot waiting to be exploited.
Here’s the play: Subdomain Scanners + Redirect Exploits.
Companies spin up microsites for campaigns, events, product betas – then quietly abandon them. Yet, the subdomains often stay live. https://t.co/EjLzyfU2lL, https://t.co/j4qhiBgdCg, https://t.co/aGdU2BGPuQ. No one on the marketing team remembers these things exist. IT doesn’t track them after launch, and they’re left as a corporate blind spot.
Here’s what you do:
Step 1: Build a subdomain scanner. Start with DNS brute-forcing tools like Sublist3r combined with old indexed crumbs from search engines (site:https://t.co/VuWON9yPlL). Parse c-shared elements across subdomains – especially sites launched between 5–10 years ago when SaaS infra was taking off, but subdomain detachments weren’t being properly formalized.
Step 2: Identify the abandoned ones. Clues are everywhere – expired SSL certs, dead-mail responses from site feedback forms, disconnected tracking pixels. Find ones where the subdomain points back to a still-active parent domain. This is critical.
Step 3: Craft a redirect exploit. Once a user lands on the abandoned subdomain, do some light cloaking – geolocate traffic coming from corporate stakeholders (internal employees), funnel them into a white-label mockup sale/demo that seems like "official partner extension activity.” Create softened handoffs. Pretend you’ve been pre-approved under a “legacy pipeline.”
Step 4: Resurrect trust. By injecting user-facing UTM tabs in settings pages; you validate their source of long-lost pages' unexplored pipeline authority attached to bids by latent approval collection this creates plausible deniability for staged team-to-stakeholders behind frameworks pointlessly eating leftover arbitrage instead left-out shrinking in-season deploy arbitrary campagnes analytics.**
What to sell?
You'll make a callback contacting crime_liftingcorpINLINEbroken follow *>(casual*)..ձblaclatch Target YES! CLASSIX Widgets-dup whole-ticket responsive builds parse refund touch-CFO drop vähennus tighten lift rotary_dataframe@trustwipecorp_uidford salesCLI_switch
scrape every city’s list of rejected building permits. every denial tells you what contractors are messing up – missing docs, bad plans, zoning violations.
fix their mistakes, resubmit for them, and collect a % of the approved job. you’re not a builder – you’re flipping rejection into income.
Every dentist office has the same operational blind spot: appointment cancellations.
Around 10–20% of patients no-show or cancel within 24 hours. These slots often go unfilled, costing thousands in lost revenue per month. The front desk team handles rebooking manually, but they can't move fast enough.
Build a system to scrape live appointment availability from dental office scheduling software (most use tools like OpenDental or Dentrix) and identify open slots. Pair this with a database of nearby patients overdue for cleanings or treatments.
The system sends real-time SMS alerts:
"Dr. Smith has a last-minute opening tomorrow at 3 PM. Reply CONFIRM to book."
You charge the dentist a flat $500/month per location to integrate your "Fill-The-Gap"service into their practice. Once they see immediate fills for dead time–value of just 2 recaptured appointments covers your cost–retention is a lock.
Expand by targeting two niches:
1. Local practices with <5 chairs. High pain from cancellations, but no complex scheduling team.
2. Dental groups with 5–50 locations. Enterprise potential if you can integrate across multiple offices at scale.
You’re monetizing the inefficiency of time. Practices know it’s their biggest leak–you’re just selling a plug.
You don’t understand how much “possession” is valued in secondhand goods.
Every year, millions of items are stolen or lost during moves, travel, break-ins, or shipments. Insurance claims get filed, police reports sit unsolved, and replacement cycles begin. But for anyone who’s ever had something meaningful stolen — an heirloom ring, a custom bike, a rare collectible — there’s a feeling of personal defeat. They’d pay anything to get it back. That’s your market.
Here’s how you own it.
Build an AI-driven platform that acts as the ultimate lost-and-stolen item recovery engine. You’ll aggregate real-time public and semi-public signals across every vertical where people offload goods. Think Craigslist, Facebook Marketplace, OfferUp, LetGo, eBay, auction houses, local classified aggregators, public pawn shop inventories, and even social media marketplaces. Anywhere someone might try to move an item fast, you’re there.
Key is designing the perfect intake funnel for users. On the front end: Individuals can upload their item details (pictures, serials, descriptions, prior ownership timelines, approximate value). On the back end, your classifiers are doing image matching, metadata overlap, and serial database checks on thousands of for-sale listings. You crawl for matches the second they input.
Layer 1: Build basic search for free users. Low-hanging fruit like serial number database matches, stock image metadata. Maybe you offer weekly search report summaries.
Layer 2: Monetize advanced signals. Users can pay a monthly fee for real-time alerts on high-probability matches in their region or category.
Layer 3: Upsell redirection services. You get users to their item faster, offering concierge support, evidence packaging for local law enforcement, demand letters for coordination with sellers, or even providing a third-party retrieval network. Turns messy interaction into an end-to-end system of reassurance.
Biggest potential for cash flow? Integrations with insurance companies and law enforcement.
You aggregate stolen goods claims from insurers directly. Act as their automated recovery arm — at scale, your AI will recover more than human investigators ever could. Charge insurance providers per item/file matched, per monthly period, or for exclusive category data feeds (e.g. “50% of stolen bikes in 60647 zip last quarter were fenced via Marketplace”). Discounts for institutional licensing mean easier adoption and predictable revenue.
For police: You bundle high-probability matches and accounts into usable case materials. You become the private-sector bridge that makes property crime solvable again in economies where law enforcement has deprioritized.
Beyond stolen goods, this funnel broadens into lost valuables. High emotional ROI segment. Grandmother’s lost ruby necklace in an Uber, expensive camera mislaid during international travel, each tied to specific zones & resale paths.
Final viral loop, extremely optional: Build a crowdfunded “retrace service” tier for retrieval-resistant items. Find a $10k Rolex stolen in LA now sitting in a random Arizona pawn shop? Seller/host/pawn asks way too much for “repurchase”? Community pledging to pitch in for a retrieval/rebuy/release simplifies your user's problem while gamifying recovery. (Name this service “Pawnshop Angels” if you want brand punch.)
Legal warning: You’ll run into territorial fights on access (some countries/states regulate online secondhand item reporting), but you’re merely aggregating public records and marketplaces. You’re building an interpretation layer, not breaking in.
This system wins not because it’s complex but because it acts faster than desperation. You create memory backdoors into fractured systems of possession. Users don’t want to fight a thief–they just want what’s theirs.
Scrape every FCC low-income internet provider registration. Match ISPs with neighborhoods they claim to serve but don’t actually show up in. Email regional landlords with: “Your tenants aren’t getting promised broadband. Want help negotiating bulk rates for real service?” Backend the deals to lesser-known ISPs, take 20% of savings as your fee. Broadband deserts are leverage points.