Tech Matters Podcast: "From Idea to Fruition: Accelerating Nonprofits"

Guests: Shannon Farley & Kevin Barenblat (Co-Founders, Fast Forward)
Host: Jim Fruchterman
Release Date: November 5, 2025

Episode Overview

This episode explores the journey and impact of Fast Forward, the leading accelerator for tech nonprofits. Host Jim Fruchterman interviews co-founders Shannon Farley and Kevin Barenblat about the unique challenges faced by tech-for-good startups, the importance of founder proximity to the problems they solve, best practices for building scalable social enterprises, and the ethical and practical implications of leveraging AI for social good. Key insights are shared for anyone aspiring to launch or support technology-driven nonprofit initiatives.

Key Discussion Points & Insights

1. Origins of Fast Forward & the Tech-for-Good Gap

• Kevin and Shannon describe the lack of support structures for tech nonprofits in the early 2010s, contrasting it with the abundance of accelerators for for-profit ventures.
  • Kevin highlights Sal Khan’s (Khan Academy) struggle to raise funds as a nonprofit founder despite strong traction.

  “[Sal] wasn’t getting any money... If he’d been a for profit, he’d have raised millions of dollars at the same time. It just seemed outrageous...” (Kevin, 04:32)

• Shannon recalls the hardships of her previous nonprofit startups lacking tech or funding infrastructure.
  • Her immediate reaction to Kevin’s accelerator idea:

  “I was so desperate for resources that I saw in the for profit sector... there should be an accelerator for tech nonprofits.” (Shannon, 05:52)

• The duo’s complementary backgrounds—Shannon as a seasoned nonprofit founder, Kevin as a VC-driven entrepreneur—brought diverse expertise to Fast Forward.

2. Adapting the Accelerator Model for Nonprofits

• Fast Forward borrowed key accelerator features (in-person cohort experiences, demo days, mentorship) but tailored them to nonprofit realities.
  • Focus on lived experience as a selection criterion for founders.

  “Our first screen is proximity. We look for folks who have lived experience with the problem they set out to solve.” (Shannon, 09:17)

• 13-week program includes curriculum, community-building, funding, and exposure.

  “Everything from how to think about your impact model, set up your first financial model, to how to talk about what you’re building and why it matters…” (Shannon, 10:08)

• Demo Days serve both as a launchpad to funders/press and as a storytelling platform.

  “At the earliest stages, it becomes a way to get in the door. There are also individual donors in the room who give what they can to support these teams and press.” (Shannon, 13:09)

3. What Makes a Tech Nonprofit Different

• Unique hybrid challenges: finding both “product-market fit” with beneficiaries and with donors (third-party payers).

  “What makes the nonprofit space so hard is you have to find product market fit with your beneficiary, but also product market fit with someone who will support your work.” (Kevin, 17:16)

• Revenue as a (flawed) metric for impact—the 10% “breakout” success rate (>$10M annual revenue), paralleling for-profit VC “unicorn” logic.

  “We define breakout stardom as an organization hits over $10 million in annual revenue... It's exactly 10% so far.” (Shannon, 16:03; 16:41)

4. More Than Money: Building Ecosystems and Capacity

• Fast Forward as an ongoing support platform: post-accelerator “growth platform” and ecosystem-building resources for nonprofits at every stage.
• Open-sourcing of curriculum and resources, including an extensive playbook.

  “We open source all of our curricula because you shouldn't have to get into our accelerator program to benefit from the knowledge...” (Shannon, 23:53)

• Notable community element: Founders learn from, mentor, and inspire each other across cohorts.

5. Tech Philanthropy & Shifting Perceptions

• Fast Forward helps philanthropists understand, evaluate, and fund tech-powered approaches—including demystifying AI.

  “We spend a lot of time these days demystifying technology and AI for philanthropists.” (Shannon, 20:14)

• Increasing comfort and investment in tech within the social sector.

6. The Role and Risks of AI in Social Good

• Real-world AI tools drive operational efficiency—examples from Indian courtrooms (Adalit) and education (Digital Green, Talking Points).

  “These are problems that... there just aren’t enough humans to solve. Like when you think about an Indian courtroom... 30 years [for a case].” (Shannon, 25:45)

• Need for “humans in the loop” and sector leadership in AI ethics:

  “All organizations you work with are super thoughtful as mission driven organizations about the potential harms that the technology can solve.” (Kevin, 32:38) “Trust is one of the most important things these organizations have, and they’ll do anything to protect it.” (Shannon, 33:39)

• Responsible AI use as a differentiator for nonprofits—modeling careful, ethical AI integration for the tech sector.

  “I feel like this is the area where the social sector is leading the way.” (Kevin, 32:38)

7. Lasting Impact: Building Institutions, Not Just Projects

• Fast Forward’s priority: supporting founders committed to “institution building” so that solutions outlive any single technological wave.

  “The tech changes, but the problems don’t get resolved. So we are interested in investing in founders who are going to institution build and not be as precious about the particular tech product in the moment, but how you solve the problem.” (Shannon, 28:26)

• Lasting organizations adapt their tools but stay true to their mission.

Notable Quotes & Memorable Moments

• On selecting founders:

  “We look for folks who have lived experience with the problem they set out to solve.” (Shannon, 09:17)

• On the nonprofit funding challenge:

  “The people using your good thing are probably not the people buying your good thing. And so you have to figure out both.” (Shannon, 18:43)

• On survivor instinct and community:

  “To sit with founders in these really tough but interesting moments... when it’s mostly duct tape and hope, it’s just a profound gift to be with them on their journey.” (Shannon, 06:28)

• On the AI “danger” problem and trust:

  “[Nonprofits] are not out to move just as quickly as possible. They are out to make sure that people who use their products are truly helped.” (Kevin, 32:38)
  “Trust is one of the most important things these organizations have, and they’ll do anything to protect it.” (Shannon, 33:39)

• Practical advice for listeners:

  “Ensure... your staff is using AI and institute an AI policy so folks do it safely. Fast Forward has an AI policy... where you can upload your organizational documents, your values, and... generate an AI policy...” (Shannon, 35:08)

Timestamps for Important Segments

• [02:37] – Kevin’s origin story & the Sal Khan example
• [05:33] – Shannon’s path & early nonprofit tech struggles
• [09:17] – Fast Forward’s founder selection criteria
• [10:08] – Accelerator program structure & curriculum
• [12:13] – Seed funding and revenue strategies
• [13:09] – The role and format of Demo Days
• [16:03-16:41] – Portfolio success and the 10% breakout metric
• [20:14] – Engaging and educating philanthropists on tech & AI
• [25:45] – AI in action: Indian courtrooms and operational efficiency
• [28:26] – Importance of institution-building, not just tech solutions
• [32:38] – Social sector’s leadership in ethical, cautious AI adoption
• [35:08] – Actionable advice: establishing an AI policy in nonprofits

Final Advice & Resources

• On starting a tech-for-good nonprofit:

  “It’s not an easy journey. The entrepreneurs we support face all the challenges of tech startups and all the challenges of nonprofits. But... there’s no better path.” (Kevin, 36:34)

• On AI policy: Fast Forward offers a free, open-access AI policy generator for nonprofits to safeguard ethical tech use ([35:08]).

Tone & Spirit

The conversation blended optimism, candor, and humility, reflecting the realities of social innovation with a deep, practical hope. Both hosts and guests focused on community, open sharing, and the centrality of human experience over technology for its own sake.

For more, visit fastforward.org and access their open curriculum and AI policy templates.