Startup Field Guide by Unusual Ventures

Every overnight success in the world of software happens after years of hard work finding product-market fit. The Unusual Ventures Startup Field Guide is a podcast for early-stage software leaders and aspiring founders looking for help going from 0 to 1. Featuring great conversations with successful startup founders, you will learn about hiring, product research, go-to-market, fundraising, and more.

Recent Episodes
  • Jyoti Bansal on how Traceable found product-market fit
    Mar 19, 2025 – 00:29:49
  • Samantha Mckenna on why solving customer problems is the best sales strategy
    Sep 15, 2024 – 00:47:18
  • Relyance AI CEO Abhi Sharma on building an unreasonably hospitable sales culture
    Aug 25, 2024 – 00:40:19
  • Clay CEO Kareem Amin on AI-powered outreach for growth
    Jun 28, 2024 – 00:39:35
  • Scribe CEO Jennifer Smith on documenting workflows
    Jun 2, 2024 – 00:28:04
  • Eightfold AI CEO Ashutosh Garg on managing talent with AI
    May 19, 2024 – 00:36:38
  • Monte Carlo CEO Barr Moses on data reliability
    May 5, 2024 – 00:39:15
  • Perplexity CTO Denis Yarats on AI-powered search
    Apr 21, 2024 – 00:35:14
  • Everlaw CEO AJ Shankar on how AI is accelerating legal tech
    Apr 7, 2024 – 00:39:58
  • Deepgram's CEO Scott Stephenson on Speech AI
    Mar 24, 2024 – 00:41:11
  • Material Security's CEO Abhishek Agrawal on securing enterprise workspaces
    Mar 10, 2024 – 00:38:07
  • Hightouch's CEO Kashish Gupta on activating data for personalization
    Feb 25, 2024 – 00:34:53
  • Notion's Akshay Kothari on productivity and embracing AI
    Feb 11, 2024 – 00:41:39
  • Domino Data's Chris Yang on helping data scientists run AI
    Jan 29, 2024 – 00:44:49
  • Stytch's Julianna Lamb on the future of passwords
    Jan 14, 2024 – 00:36:46
  • Clari's Andy Byrne on how AI is changing revenue ops
    Jan 1, 2024 – 00:35:13
  • 2023 AI Wrapped: The "so whats?" behind this year’s top AI moments
    Dec 18, 2023 – 00:47:19
  • Coda's Shishir Mehrotra on reinventing team collaboration with AI
    Dec 10, 2023 – 00:47:21
  • MosaicML’s Naveen Rao on building an edge in AI infrastructure
    Nov 27, 2023 – 00:43:41
  • Sprig’s Ryan Glasgow on AI-powered product feedback
    Nov 13, 2023 – 00:43:31
  • Solo’s product-market fit journey: Idit Levine on timing the market for open source success
    Oct 30, 2023 – 00:45:00
  • Writer’s product-market fit journey: May Habib on taking on ChatGPT Enterprise
    Oct 16, 2023 – 00:31:05
  • How open source AI will find product market fit: A conversation with Databricks, and AI startup Together
    Sep 25, 2023 – 00:46:33
  • Deliverr's product-market fit journey: Michael Krakaris on enabling Prime for all E-commerce
    Sep 11, 2023 – 00:46:57
  • How Forward found product-market fit: Adrian Aoun on automating healthcare with AI
    Aug 28, 2023 – 00:34:29
  • How Sysdig found product-market fit: Loris Degioanni on leveraging open source for cloud security
    Jul 31, 2023 – 00:40:32
  • How Gretel found product-market fit: Ali Golshan on unlocking synthetic data for developers
    Jul 17, 2023 – 00:50:38
  • How Instabase found product-market fit: Anant Bhardwaj on automating data processes for the F100
    Jul 3, 2023 – 00:49:56
  • Launching Bright and Early: Naveen Gavini on growing from first mobile engineer to SVP Products at Pinterest
    Jun 19, 2023 – 00:30:33
  • How Weights & Biases found product-market fit: Lukas Biewald on dev-focused ML ops
    Jun 5, 2023 – 00:48:33
  • How 6sense found product-market fit: Jason Zintak on account intelligence for revenue teams
    May 22, 2023 – 00:29:06
  • How Hex found product-market fit: Barry McCardel on data collaboration
    May 8, 2023 – 00:45:31
  • How Glean found product-market fit: Arvind Jain on enterprise search and AI
    Apr 24, 2023 – 00:44:02
  • How Vercel found product-market fit: Guillermo Rauch on dynamic web app development
    Apr 10, 2023 – 00:41:04
  • How Amplitude found product-market fit: Curtis Liu on pivoting to analytics
    Mar 6, 2023 – 00:43:10
  • How PLG companies find product-market fit: Sandhya Hegde on product-led growth
    Feb 20, 2023 – 00:50:22
  • How Harness found product-market fit: Jyoti Bansal and John Vrionis on customer discovery
    Feb 6, 2023 – 00:38:56
  • How LaunchDarkly found product-market fit: Edith Harbaugh on building a developer movement
    Jan 23, 2023 – 00:41:10
  • How Jasper found product-market fit: Dave Rogenmoser on pivoting to AI SaaS
    Jan 9, 2023 – 00:41:47
  • How Aurora Solar found product-market fit: Chris Hopper on bootstrapping climate tech
    Dec 5, 2022 – 00:40:41
  • How Webflow found product-market fit: Bryant Chou on the no-code movement
    Nov 28, 2022 – 00:44:12
  • How Vanta found product-market fit: Christina Cacioppo on startup compliance
    Nov 21, 2022 – 00:43:28
  • How Cockroach Labs Found Product-Market Fit: Peter Mattis on Leveraging Open Source Software
    Nov 14, 2022 – 00:45:44
  • Andy Rachleff on coining the term product-market fit
    Oct 31, 2022 – 00:48:05
  • How SessionM found product-market fit: Lars Albright on customer loyalty
    Oct 17, 2022 – 00:44:10
  • How Shippo found product market fit: Laura Behrens Wu on democratizing shipping for small businesses
    Oct 10, 2022 – 00:26:07
  • How Oyster HR found product-market fit: Tony Jamous on leveling the global employment playing field
    Sep 26, 2022 – 00:40:42
  • How Arctic Wolf found product-market fit: Brian NeSmith on getting to the tipping point
    Sep 12, 2022 – 00:45:10
  • How StackRox found product-market fit: Wei Lien Dang on riding tech stack tailwinds
    Sep 2, 2022 – 00:36:20
  • How Carta found product-market fit: Henry Ward on distribution-led product strategy
    Aug 18, 2022 – 00:52:32
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