Sales and lead follow-up
Tools that find, qualify and follow up with possible customers: AI sales agents and appointment setters, live product demos, CRM updates, account scoring and outreach.
Sales and lead follow-up holds 17 of the 603 stories on Aiolum: 2 run by a solo founder and 15 by a team of 2 to 10. Together they report US$405,920 in verified outcomes; the largest is Fathom AI, About US$300K annual recurring revenue, April 2026. 2 headline numbers carry evidence grade A (disclosed or verified), 1 grade B (independent press) and 0 grade C (founder claim), 5 are grade D (reported, not verified), and 9 have no revenue figure (grade E). The median story reached its headline number 14 months after launch. The founders are in 7 countries, most often United States and Czech Republic. The most common main channel is cold outreach (3 of 17). The tools named most often in their sources are Cloudflare (9), Google Analytics (9) and Vercel (8).
Verified, number by number
Evidence gradesA disclosed or payment-verifiedB independent pressC the founder's own figuresD reported, not verifiedE no revenue figureHow we verify
Filter: team, grade, outcome and more
More filters: main channel, size and time
The revenue trend compares the latest months in the sources with the months before them. Falling means revenue is about 15% or more below the best recent months, or the sources report a fall. The headline number is the yearly figure or the sale value on each card.
17 of 603 stories shown
It sold one promise that a customer can measure: a first reply to every new lead within 10 seconds, to businesses that already pay for many leads through Meta ads. A demo on the website brought sales calls through organic search before the product was built. Revenue then fell from US$9,000 to US$12,000 a month in late 2025 to under US$2,000 in September 2026, in the same months in which the founder launched other products.
7 grade-A facts · 5 that failed before itThe founder turned the go-to-market frameworks she uses as an advisor into a product with one job and one price. It is a small, early business: Stripe data shows US$500 of revenue in its first four months and two active subscriptions in November 2026, and the founder has listed it for sale.
7 grade-A facts · 4 that failed before itOne founder was a device sales rep who built the tool for his own territory first, so the first customers came from his own industry contacts. Medical aesthetics is paid in cash by patients, so there is no insurance claims data that the usual healthcare sales tools sell. The founders sell to a few large customers, run the support and research work with AI agents instead of staff, and took no outside money.
Every number graded · 4 that failed before itSales reps usually learn on real prospects, which costs the company leads. The founders turned role-play, which normally needs a manager or a colleague as partner, into a short daily exercise on the phone, and Charaniya described it to Hypepotamus as the "Duolingo for sales". The company then moved up from single reps to sales teams in solar, home services, insurance and car sales, where each rep is a paid seat.
Every number graded · 4 that failed before itThe founders cut a hard idea, an AI that understands a whole software product, down to a smaller one: an AI that only has to show the product. Co-founder Toni López told Valencia Plaza that the product launched during Y Combinator, gave 2,000 demos on its first day and reached US$31,000 in monthly recurring revenue in three weeks. That is one founder statement, reported once.
Every number graded · 5 that failed before itHome-service companies spend evenings driving to free estimates for jobs that never close. A video recorded by the customer lets them see the work first and visit only the serious leads. FormVue started as a self-serve tool for single contractors in 2025 and by 2026 sold mainly to franchise systems and product manufacturers through demos.
Every number graded · 4 that failed before itThe founder had sold two machine-vision companies, lost a third to COVID and spent six years as a consultant, where sellers always refused to type data into the CRM. He coded a tool that fills the CRM itself, charged from the first day, sold lifetime deals on AppSumo at a loss to recruit testers who never cancel, and turned the launch sites' freelancers into affiliates. In July 2026 he told Indie Hackers that monthly recurring revenue had five digits.
Every number graded · 5 that failed before itIn complex B2B software sales, the account executive often cannot answer a technical question and promises an answer from an engineer next week. DeltaGen answers from the seller's own documentation within about three seconds, so the rep can answer on the same call. It sits on the rep's screen and joins no meeting as a bot, which the company sells as its main difference from tools such as Gong.
Every number graded · 3 that failed before itCompanies pay to bring buyers to their website and then answer with a form and a reply the next business day. The company says it started from that gap, and from a second observation: in Colombia, Brazil and the rest of Latin America, sales run on WhatsApp, often from reps' personal phones.
Every number graded · 3 that failed before itA brand that sells into thousands of independent US stores through dozens of distributors gets one data feed per distributor, each with its own store names and its own week. Small brands have no data team to join them. The CEO had run a tempeh brand sold in about 5,000 stores and knew that work from the inside.
Every number graded · 3 that failed before itOnline marketplaces sell through search bars and filters, while the best shops in the real world sell through a salesperson who knows the customer. The founder had built selling tools for influencers at Amazon and early iMessage shopping agents at Sage AI Labs, and built the salesperson as software.
Every number graded · 3 that failed before itThe two founders came from search: Prahladka co-founded Glean, a company that searches across a firm's internal systems. They applied the same idea to selling, where the facts of one deal are spread over email, calls and the CRM. Harvey, a legal AI company, bought the team for that search and machine learning skill, its announcement said.
3 grade-A facts · 3 that failed before itThe about page says the team ran marketing and operations at home-service companies around Dallas-Fort Worth and saw the same loss everywhere: calls that went to voicemail in the evening, web forms that nobody answered until morning, and paid leads that went cold. The product books the job into the system that the office already uses, instead of taking a message.
Every number graded · 3 that failed before itThe founders first built a consumer app that waited on hold and called businesses for people. The company says businesses kept asking for the other side of that call, so it moved to agents that answer the phone for companies, starting with consumer brands whose call volume jumps in peak seasons.
Every number graded · 3 that failed before itThe CEO had worked as a marketer at Amazon, where, as Techstars reports, the question clients asked most often in weekly meetings was what their competitors were doing. Older competitive-intelligence tools need big budgets and a dedicated researcher; Techstars says Steve is built to run on its own for small marketing teams, and Techstars says many of its customers could not afford such tools before.
Every number graded · 3 that failed before itThe CEO had met the pain of RFPs at his earlier startup, Viewics, which Roche bought, and the two other co-founders came from Google's LaMDA language-model team and from Stanford AI research. They started in 2023, went through Y Combinator's Summer 2023 batch and, according to the August 2024 press release, raised a US$4 million seed round to grow the team.
Every number graded · 4 that failed before itHome service owners are on job sites, not at a desk, so many calls and web inquiries wait for hours while the customer contacts the next company. The founders first sold a marketing plug-in inside Jobber, a scheduling app for these businesses. When Jobber shipped similar features itself, they built a product that works with every scheduling app instead of one.
Every number graded · 4 that failed before itThe next verified one-person AI business goes here. Same structure, same evidence grades.
Browse by what the product does
Patterns to copy
Every number on these cards carries an evidence grade. How Aiolum verifies explains the evidence grades and the five parts of each story.