Machine learning Startups

Scout is a postcard marketing platform that started as an internal tool for Jordan and Zach's web development agency in 2016. After launching on Product Hunt and achieving #2 product of the day, it evolved into a full-service postcard marketing business generating $54k/month through personalized campaigns with unique maps, images, text, and tracking. Growth came primarily through SEO, referrals from marketing consultants, and highly targeted, personalized outreach emails.

Haptly was a failed AgTech startup founded by Nelson Shaw that aimed to help dairy farmers measure grass dry matter using drone and satellite imagery. After receiving $20,000 from the Vodafone Xone accelerator in early 2016, the team spent 10 months on technical development but ultimately discovered the product was not feasible due to the complexity of building accurate machine learning models without sufficient sensor data. The startup shut down in October 2016 without generating revenue, as the founders lacked deep passion for the farming industry and underestimated the technical risks.

LogoJoy is an AI-powered online logo maker that uses machine learning to generate professional logos, reducing the typical designer-client back-and-forth. Built by Dawson Whitfield in 2.5 months, the product launched quietly on Product Hunt and generated $7,000 in its first week, scaling to $300,000+ ARR with 24 employees within a year. Growth was initially driven by AdWords and a viral Indie Hackers feature, but shifted to 55% organic SEO, word-of-mouth, and strategic partnerships.

Deets is a review platform launched by serial entrepreneur Paul English to challenge Yelp's outdated model. Instead of relying on reviews from strangers with different preferences, Deets surfaces recommendations from friends, influencers you follow, and algorithmically similar users using machine learning, inspired by TikTok's recommendation engine. English launched it two weeks before this interview and positioned it as a potential billion-dollar opportunity.

Community Notes is a crowdsourced fact-checking system on X (formerly Twitter) that allows regular users to add contextual notes to potentially misleading posts. Using a proprietary 'bridging-based agreement' algorithm that rewards notes approved by people who typically disagree, the system has grown to nearly 1 million volunteer contributors and delivered 30 billion note views in 2024—more than double the prior year. The product's success demonstrates that open, decentralized approaches to information quality can outperform traditional centralized fact-checking.

12 Labs, co-founded by Ashu Dubey, is a data science-powered weight loss application called Applays that has achieved over 500,000 downloads with approximately 75,000 monthly active users as of early 2016. The company raised approximately $1 million in a priced round led by Salesforce founder Mark Benioff in 2014, focusing on solving the engagement problem that plagues most health apps. While the free app generates no direct revenue, 12 Labs monetizes through an engagement platform for wearables that powers Applays and has shown a 7x improvement in user retention.

Bottlenose is an enterprise SaaS company providing big data analytics and trend detection for large consumer brands and enterprises. Founded by serial entrepreneur Innova Spivak, the company processes close to 100 billion data records per day at a rate of about 1 million per second, using machine learning to detect emerging trends across 13 different data channels. With fewer than 100 enterprise customers paying annual contracts ranging from tens of thousands to over half a million dollars, Bottlenose has raised over $20 million and is currently in fundraising mode for a larger round.

Foursquare transformed from a hot consumer social network (valued at $650M in 2013) into an enterprise location intelligence powerhouse under CEO Jeff Glick's leadership starting in 2016. The company monetized its 70,000 free developer community through a tiered SaaS licensing model based on API calls, with over 90% of revenue now coming from B2B customers including Fortune 500 companies, tech giants like Apple, Microsoft, Samsung, and ride-sharing platforms like Uber. Their Pilgrim technology, built on nearly 12 billion cumulative check-ins (7 million per day), enables contextual mobile marketing and real-time foot traffic analysis that has made Foursquare an essential infrastructure layer in apps across the globe.

Widespace is a mobile ad tech platform founded by Patrick Figerland in 2007 that evolved from selling media to building enterprise SaaS technology. The company processes approximately $36-40 million in annual ad spend through its system, serving ~1,000 advertisers (including 75% of top 50 global advertisers like Procter & Gamble) and 500+ publications, generating ~$17 million in gross profit in 2016 with 130 employees. After raising $30 million in VC funding, Widespace shifted to a high-margin technology model charging usage-based fees (typically 50% of spend for demand-side, with supply-side cuts as well) rather than media margins.

Yeti Data is an enterprise SaaS platform that creates a virtual data warehouse unifying customer touchpoints and providing AI-driven actionable insights. Founded by Victor Sherba in 2014 with $1.5M in convertible note funding, the company spent 2-3 years in deep development before launching go-to-market efforts in earnest last year. With less than half a dozen customers paying $250K-$500K annually, Yeti Data is approaching $1M ARR and seeking a Series A at a $15-20M pre-money valuation.

Donuts is the world's largest portfolio of new top-level domains (like .coffee, .today, .news) with about 3 million domains sold and ~$60M in annual revenue. The company operates on a B2B2C wholesale model, selling domains through partners like GoDaddy, Hostgator, and Squarespace with approximately $20 average annual revenue per domain. The business benefits from predictable recurring revenue with 70%+ year-one renewal rates climbing to 80-90% in subsequent years, and is experiencing 20-30% year-over-year growth.

Percolata is a SaaS platform that helps physical retailers optimize their sales team scheduling using proprietary deep learning technology and sensor data. Founded in 2011 by Greg Tanaka, the company struggled for five years to find product-market fit before pivoting from selling sensor data subscriptions to helping retailers schedule their existing staff more effectively. With 40 retail logos and 18.4 million scheduled hours under contract at $0.85 per hour, they're approaching $10M in annual revenue and experiencing rapid organic growth through word-of-mouth referrals.

Market Muse is an AI-powered SaaS platform that accelerates content creation by analyzing web content and building comprehensive content blueprints. Founded in 2013 by Akhi Bolog, the company grew from $35k MRR in December 2016 to approximately $350k MRR by the time of this interview, serving over 100 enterprise and mid-sized publishing customers at an average of $5k/month. The company raised $4 million in total funding and achieved strong unit economics with a ~2-month payback period on customer acquisition costs.

Alex Kilka built an automated marketplace arbitrage system that identified price discrepancies between eBay and Amazon, scaling it from a side project into a three-year business selling 5,000+ power tools and generating $4,000-$10,000 in monthly gross profit. He shut down the business after Amazon changed its return policy, making inventory management too complex, and has since pivoted to Austin Data Solutions, a five-person consulting firm using data analysis, NLP, and computer vision to solve business problems.

Sailthru is a SaaS platform founded in 2008 that specializes in personalized customer engagement through machine learning, sending 100 billion emails on behalf of customers with one-to-one personalization at scale. Under CEO Neil Lustig (who joined in 2015), the company has scaled from lower ACV customers to enterprise accounts like NBC, Tory Burch, and NASCAR, growing to approximately $40-50M ARR with 400 customers averaging $120k annually. The company maintains less than 15% gross revenue churn, 102-103% net dollar retention, and is now cash flow positive with approximately 200 employees focused on media and e-commerce personalization.

Predict Leads is a B2B SaaS company providing competitive intelligence and business data via API to VCs, corporate VCs, and sales enablement platforms. Founded in 2015 by Rox Seever and co-founders in Slovenia, the company crawls billions of data points to extract signals about new partnerships, client acquisitions, and hiring intent. Growing from ~$40-50K ARR in 2017 to ~$325K ARR in 2018 (at the time of interview), the company has 30 customers paying an average of $12K annually, bootstrapped with only $15K from an accelerator.

Oil and Gas Analytics is an enterprise SaaS platform founded by Luther Birdzell in 2017 that uses AI and machine learning to optimize well-planning and forecasting in the oil and gas industry, helping companies identify 5-10% cost savings per well ($400K-$1M per well). The company has grown to 20 employees (including 6 consultants with geology/geophysics/petroleum engineering backgrounds), 5-10 customers paying $10-50K/month, generating over $50K MRR, with plans to raise Series A in Q4 to accelerate sales hiring.

BotKeeper is an AI-powered bookkeeping automation platform launched in 2015 by serial entrepreneur Enrico Pomareno. The company combines machine learning with skilled accountants to provide accurate, fast, and affordable bookkeeping services to 500+ customers across diverse industries. Growing from $40K MRR a year ago to $130K MRR with impressive 124% net revenue retention, BotKeeper demonstrates strong product-market fit and healthy unit economics.

Branzuka is a self-service programmatic advertising platform launched in 2015 that democratizes TV advertising by enabling small businesses to run targeted ads on OTT platforms like Sling and Roku—previously only available to large enterprises. The company grew from 400 users and $40K revenue in 2015 to 25,000 users and $1.5M in 2016, with guidance for $5M gross revenue in 2017, while raising $4.5M and closing a $7M Series A at a $20M+ pre-money valuation.

Visibly is a search intelligence platform that helps brands understand their complete footprint across search results, including PR hits, e-commerce listings, ads, and reviews—not just their own website rankings. Founded by PR agency owner Chris Dickey, the product launched in beta in July 2020 with 1,000 free signups in three weeks after he spent 18 months and $800,000 developing it. Pre-revenue at launch, the team of 6 was burning $30-40k/month with plans to monetize via freemium model in fall 2020.