Harmonic helps investors query the startup searches of their wildest dreams • TechCrunch

Siri, show me fintech companies, founded in the last two years, have not grown in the past year but have increased headcount by 100% in the same time frame; and could it be founded by Stanford alumni whose Twitter traction has grown by at least 50% in the past six months?

This is Harmonic’s vision; well, only if you swap Siri for harmonicstart up text-based search query engine. Data platform built by co-founders Bryan Casey and Max Rudermanthinks it can help executives discover the next big startups without hundreds of hours of manual sourcing and research.

Harmonic is a more specific version of its biggest competitors, Crunchbase and PitchBook, that aggregates and organizes private startup data. “We go out and look at every nook and cranny of the site where there might be information about companies, and we take that structured and unstructured data and figure out how to merge it all with together into some canonical representation of a company,” Ruderman told TechCrunch.

According to Ruderman, Harmonic’s synthetic distinction is the intelligence it uses to help recognize which public data is more accurate for certain fields and then combine those sources to develop “new representations, most accurate at any given time”.

Harmonic joins a group of other startups trying to make business more data-driven, transparent and fair. Theoretically, Algorithmic investment hedging against investor biases and push emotions aside. Fintech unicorn Clearco and venture firm SignalFire have spent years implementing data-centric investment processes, with participation from AngelList and Hum Capital.

As investors are relearning discipline, the data feels safe. However, as other solutions have evolved, the cleanliness and reliability of said data raised the question. (One founder even played a joke once, listing Andreessen Horowitz as an investor in his startup on Crunchbase; as other investors sought to pour money into the new company. his establishment, he explained that it was a joke to show poor data quality on the platform, Bloomberg report).

Ruderman admits that data reliability and consistency is one of the hardest things to get right – and their strategy is a big differentiator for them. “We can update data at scale and merge fragmented bits of structured and unstructured data from around the web with confidence,” Ruderman said. learn more that the measure of success is their internal score. used to capture novelty, inventory, and classification.

When asked for more specifics on how they gain the freshness advantage, Ruderman didn’t share many specifics (and given that it’s a competitive excitement, I’m not too surprised by this). ). He also said that pricing will grow as the product evolves, but for now the startup charges licensing fees and API usage fees.

Ruderman’s background adds some color to why he’s confident in a better way to search. The co-founder has been at Google for about six and a half years – with his last role being a senior software engineer on the Search team, it was all about building tools to help Google do research and UX design at scale. Prior to that, he spent time learning about behavioral economics in the people operations department, technical infrastructure in the business intelligence team, machine learning in the finance team, and finally, Search.

To date, his direction and the company behind him has attracted at least 150 Harmonic customers, including SaaS startups like Brex, Vouch, Notion and Carta, and joint ventures such as Floodgate, a16z and Accel. Some of the early adopters even became the startup’s biggest investors. Harmonic today announced that it closed a $20 million Series A round led by Sozo Ventures, with participation from Craft Ventures, which led a $10 million seed round last year. Floodgate, another customer, was an early investor in Harmonic.

“By creating a really powerful discovery engine in the venture, it allows capital outflow to innovate in a more efficient way… if we bring this to the sales teams, it will allow teams bring their services and push at the right time,” says Ruderman. “And ultimately, we want to make it possible for talent to find startups to match their talent, driving startups forward.”


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