Just scraped over 7,000 influencer leads for an ecommerce agency looking to scale their creator partnerships. They needed comprehensive data across Instagram, Shopify, and various creator partnership platforms to build out their influencer outreach campaigns. The dataset includes creator contact information, follower counts, niche categories, and demographic information (location, age, etc). Instead of manually building lists or paying premium prices for outdated influencer databases, they now have fresh, targeted leads they can segment and reach out to based on their specific campaign needs. I'm working to deliver 7,000 leads per week, so they always have a steady stream of creators to contact. When you're running an ecom agency, having direct access to thousands of potential brand partners can completely change your growth trajectory. What's the biggest bottleneck in your lead generation process right now - volume, quality, or finding the right contact info?

Frank, here’s how I’m wiring Tax Logic into a guaranteed‑growth system using Bitsing. Tax Logic is my framework for showing commercial real estate buyers the *true* after‑tax cash flow of a deal, not just the pro forma line items. It layers cost segregation, bonus depreciation, and other tax strategies into the underwriting so the listing tells the whole economic story and not just the pre‑tax one. On its own, that solves a big technical problem for brokers and investors. But I don’t want Tax Logic to be “just another clever spreadsheet.” I want it to be a predictable growth engine that wins listings, moves deals faster, and generates ongoing cost seg work. That’s where Bitsing comes in. Bitsing is a scientific growth method built around seven laws that let you *forecast* results in advance and connect every activity directly to continuity and revenue. It’s used by companies to design campaigns and strategies where each “bit” of effort can be justified financially, instead of guessing and hoping. [1][2] Here’s how I’m applying it to Tax Logic in CRE: - I define a clear Bitsing-style target: “X new broker relationships, Y Tax Logic overlays in offering memoranda, Z completed cost seg studies over the next 90 days,” all with a specific revenue outcome attached. - Every asset and touchpoint must earn its place against those numbers: outreach emails to brokers, Tax Logic OM pages, social posts, proof stacks from closed deals, educational content for LPs/GPs, follow‑up sequences, and referral asks. If it doesn’t move a measurable metric (awareness, trials, engagements, or revenue), it gets redesigned or cut. - I treat each automation and workflow as a “bit”: listing intake, tax overlay creation, broker briefing, OM insertion, buyer-facing explanation, and post‑closing cost seg proposal. The job is to align all those bits so they collectively hit the Bitsing targets instead of operating in isolation. This lines up perfectly with the way you think about AI systems, Frank: Bitsing provides the logic and constraints, Tax Logic provides the tax edge, and AI handles the execution at scale. Instead of “let’s create content,” the prompt becomes: “Given these Bitsing targets for Tax Logic, generate the minimum effective sequence of messages, proof, and automations required to mathematically hit them with brokers and their listings.”