product-discovery
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Avensia fixes the parts of shopping you never see
Behind the storefront, the Swedish commerce specialist untangles product data, connects unruly systems and tests whether better search actually sells more. Its customer results are a lesson in execution; its own accounts show the price of selling expertise.
Rezolve Ai is buying its way to the checkout
The London company is assembling search, payments and loyalty businesses around a retail AI engine. Its next test is turning acquired customer relationships into better shopping - and a business that pays for itself.
Rajiv Ayyangar Keeps Launching Into the Unknown
Product Hunt’s CEO learned to treat launches as questions, pivots as evidence, and a winding career as useful terrain. Now he is shaping the platform that once gave his own strange ideas their first audience.
Bloomreach Wants to Be the Brain Behind Every Shopping Cart
The company that began by fixing bad search results now wants to coordinate every digital conversation between a brand and a shopper. Its wager is that the best commerce AI will know the catalog, the customer, and the merchant's rules at the same time.
The Search Box Is Becoming the Company Brain
Coveo spent two decades teaching companies to find their own information. Now that same retrieval machinery is becoming the context layer beneath shopping conversations, support answers and enterprise AI agents.
The Search Company That Decided Keywords Weren't Enough
Lucidworks grew up inside open-source Solr, then bet its future on a harder problem than matching words: understanding what people mean. Here is how the Salt Lake City and San Francisco company sells relevance to the world's largest catalogs.
Ocula
Retailers spent years teaching product pages to rank for humans. Ocula is betting the next customer may be an algorithm - and rebuilding the catalogue for both.
The AI Fight to Hear What Customers Actually Mean
Zeda.io and Unwrap are chasing the same stubborn problem: companies collect more customer feedback than their teams can understand. Their competing approaches show where AI product software is heading, and what buyers should demand before trusting the machine.
Your Feedback Stack Has Three Jobs, Not One
Feedier, Survicate, Medallia, Mopinion, Aurelius, and Aha! solve different parts of the same problem. The smart choice starts with finding where customer evidence breaks down in your workflow.
Zeda.io
A product-discovery platform betting that the fastest way to build the right thing is to stop guessing and start listening - at scale, with an AI copilot reading the customer for you.
Cycle
The Paris startup that turned scattered customer feedback into a product roadmap - then handed its engine to Atlassian.
Constructor
Constructor is an AI-powered product discovery and search platform for enterprise ecommerce. Its clickstream-trained models run search, browse, recommendations, autosuggest, quizzes, and agentic shopping experiences for retailers like Sephora, Petco, Under Armour, Birkenstock, and The Very Group - tying every result back to KPIs like revenue per visitor.
Dovetail
Dovetail is a Sydney-founded customer intelligence platform that pulls scattered customer signals - sales calls, support tickets, surveys, app reviews, usability tests - into one searchable place and uses AI to turn them into themes, dashboards and decisions. Started in 2017 by two ex-Atlassian employees, Benjamin Humphrey and Bradley Ayers, it began life as a repository for user researchers and grew into an organisation-wide intelligence layer used by roughly 40% of the Fortune 500, including AWS, Visa, Atlassian, Canva and Johns Hopkins. Accel led a US$63M Series A in January 2022 at a valuation north of US$700 million.
Wizard
Wizard is an AI-native shopping agent that turns online buying into a single conversation. It interprets natural-language requests, searches across websites, customer reviews, editorial and social content, and returns a tightly curated set of products - usually a top five - then lets shoppers complete the purchase through native checkout without leaving the app. Cofounded by CEO Melissa Bridgeford and chairman Marc Lore, the New York company launched publicly in February 2026, beginning with electronics and a native checkout integration with Best Buy.
Askable
Askable is an Australian, AI-powered user research platform that combines a global panel of verified participants, certified human researchers, and research-specific AI into a single system meant to replace a team's whole research stack. Founded in 2017 in Brisbane, it started as recruitment software - the self-described 'Uber for user testing' - and has grown into an end-to-end product research suite used by teams at brands like Atlassian, Canva, Wise and Toyota. After roughly six years bootstrapped and profitable, the company raised a A$22M Series A led by AirTree Ventures in 2024 to expand in the US and UK and deepen its AI tooling.
Product Hunt
Product Hunt is a community-driven website where makers launch new products and the internet votes on them, surfacing a daily leaderboard of the most interesting tech, apps, and AI tools. Founded in 2013 by Ryan Hoover and now led by CEO Rajiv Ayyangar, it has become the default starting line for startup launches, helping millions discover and rank software, hardware, games, and side projects.
Strella
Strella is an AI-powered customer research platform that lets product, UX, and marketing teams run in-depth, AI-moderated interviews at scale and get synthesized insights in hours instead of weeks. Its adaptive AI moderator conducts dynamic, probing conversations, handles recruitment and scheduling, and turns raw interviews into highlight reels and reports - combining the speed of surveys with the depth of qualitative interviews. Founded in 2024 by Lydia Hylton and Priya Krishnan, the New York company raised a $14M Series A in October 2025 led by Bessemer Venture Partners and counts Amazon, Duolingo, Chobani, and Apollo GraphQL among its customers.
Aha!
Aha! is a bootstrapped, fully remote software company that makes the world's most widely used product development tools. Founded in 2013 by Brian de Haaff and Chris Waters, its suite - Roadmaps, Ideas, Whiteboards, Knowledge, Discovery, Teamwork, Develop, and the newer AI-driven Builder - helps product teams set strategy, gather customer feedback, prioritize features, and ship work people love. It reached profitability without venture capital and is used by more than one million product builders worldwide.
Preferabli
Preferabli is an AI-driven B2B2C product discovery and recommendation software platform for wine, beer, spirits and other sensory consumer products. Formerly Wine Ring, the company pairs proprietary, patented machine-learning models with the world's largest assembled group of Masters of Wine and Master Sommeliers to predict what an individual will actually like - then plugs that prediction into retailers, hotels and merchants across roughly 100 countries.
Lily AI
Lily AI is a Mountain View-based retail AI company that translates the language of the customer into the language of the catalog. Its platform uses computer vision, NLP and large language models to enrich product data with thousands of consumer-centric attributes - powering site search, recommendations, SEO/SEM and demand forecasting for retailers like Macy's, Bloomingdale's, Gap and thredUP.
Maze
Maze is a user research and product testing platform that lets product teams test prototypes, run usability studies, and gather customer insights at speed. Founded in 2018 by Jonathan Widawski and Thomas Mary, it has grown into an AI-powered research platform used by more than 60,000 product teams - from startups to Atlassian, Braze and Lowe's.
Eli Finkelshteyn
Eli Finkelshteyn is the co-founder and CEO of Constructor, an AI-native product discovery and search platform for e-commerce. With a background in computational linguistics and natural language processing, he built Constructor over four years in stealth before launching in 2019. Today the company powers over 400 billion requests annually, counts Sephora, Under Armour, Gap, and REI among its clients, and has raised $91M in funding at a $550M valuation. Finkelshteyn's core belief: world-class search is a competitive moat, and no retailer should have to build it from scratch.
Hubert Palan
Hubert Palan is the Czech-born founder and CEO of Productboard, the AI-powered product management platform used by 5,400+ companies including Salesforce, Zoom, and Microsoft. After earning an MBA from UC Berkeley's Haas School of Business and spending nearly four years as VP of Product at GoodData, he founded Productboard in 2014 with co-founder Daniel Hejl to solve a problem he'd lived firsthand: the disconnect between customer feedback, product strategy, and what actually gets built. The company reached unicorn status in 2022 with a $1.725B valuation following a $125M Series D, and Palan has since led a bold AI-first transformation of the platform with products like Productboard Spark and Productboard Pulse.
Jonathan Widawski
Jonathan Widawski (known as Jo) is the co-founder and CEO of Maze, a continuous product discovery platform that lets teams run user research at the speed of product development. A veteran product designer and former UX instructor who worked with McKinsey, Rocket Internet, and PSG, he launched Maze in 2018 after experiencing firsthand how impossible it was for product teams to get reliable user data fast enough to matter. Under his leadership, Maze grew 6x during the pandemic, expanded to 60,000+ brands across 35 countries, and raised $60M total — including a $40M Series B in 2022 led by Felicis Ventures.
Munier Afshar
Munier Afshar is a co-founder at Maze, the AI-powered user research and continuous product discovery platform trusted by over 60,000 brands including Atlassian, Lowe's, and Sony. Based in the Baltimore/Washington DC area, Afshar helped build Maze into a category-defining research platform that raised a $40M Series B in 2022, bringing total funding to over $57M. Beyond tech, he serves as Vice President of the Afghan Relief Fund, lending organizational leadership to a nonprofit supporting vulnerable Afghan families. His career spans entrepreneurship, operations, and community impact.
Purva Gupta
Purva Gupta is the co-founder and CEO of Lily AI, the Mountain View-based AI platform that bridges the gap between how retailers describe products and how consumers actually search for them. Founded in 2015 after her own frustrating experience shopping online as a newly arrived immigrant from India, Gupta built Lily AI into an enterprise-grade solution serving major retailers including Macy's, Bloomingdale's, J.Crew, and thredUP. The company has raised $62 million in total funding, achieved triple-digit year-over-year growth, and is recognized as a Deloitte Technology Fast 500 company. A Tory Burch Fellow, Ad Age Leading Women honoree, EY Entrepreneur of the Year finalist, and venture partner at Unshackled Ventures, Gupta has become a prominent voice in retail AI and immigrant entrepreneurship.
Daydream
Daydream is a conversational, AI-powered fashion shopping platform founded by Julie Bornstein. It lets people search for clothing with natural language and images across roughly two million products from 8,000+ brands, then sends them to the retailer to check out.
Julie Bornstein
Julie Bornstein is the founder and CEO of Daydream, an AI-powered shopping search engine that raised $50M in seed funding in 2024 and publicly launched in 2025. A serial entrepreneur and e-commerce pioneer, she grew Nordstrom.com from $10M to $350M in sales, transformed Sephora's digital business and launched Beauty Insider, scaled Stitch Fix to $1B as COO, and sold her AI fashion startup The Yes to Pinterest in 2022. With a Harvard BA and HBS MBA, Bornstein has spent 25+ years at the intersection of retail, technology, and artificial intelligence.
David Pereira
David Pereira is a Brazilian-born product leader, author, and keynote speaker based in Munich, Germany. He is the creator of the 'Untrapping Product Teams' newsletter (23,000+ subscribers) and the author of the Pearson/Addison-Wesley book of the same name. With 10+ million readers reached since 2020 and 88,000+ LinkedIn followers, he is one of the most prominent voices in modern product management. His philosophy centers on cutting through 'bullshit management' to enable teams to create real value for customers and businesses.
Teresa Torres
Teresa Torres is the founder of Product Talk and the author of 'Continuous Discovery Habits' (2021), the definitive book on modern product discovery. A Stanford Symbolic Systems graduate who transitioned from front-end engineering to product management to coaching, she pioneered the Opportunity Solution Tree framework and has trained more than 18,000 product professionals through Product Talk Academy. She coaches product teams at companies like Spotify, Tesco, CarMax, and Snagajob, and is widely recognized as one of the most influential people in global product management.