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Content provided by Chris Sinclair and Mark Monfort, Chris Sinclair, and Mark Monfort. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Sinclair and Mark Monfort, Chris Sinclair, and Mark Monfort or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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From Mental Health App to Indy Jeff Quach on Building AI Families Actually Trust

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Manage episode 515996630 series 3584105
Content provided by Chris Sinclair and Mark Monfort, Chris Sinclair, and Mark Monfort. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Sinclair and Mark Monfort, Chris Sinclair, and Mark Monfort or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

From hacking mainframes to building Haven (mental health) and now Indy, an AI co-pilot helping families navigate paediatric and developmental care, Jeff Quach shares a builder’s journey grounded in anthropology, trust, and real-world impact. We unpack when AI should support human care (not replace it), why guardrails matter, how to find the right co-founder, and the gritty reality of bootstrapping (“the desert walk”), plus practical tools and workflows you can use today.
Time stamps
00:00 – Intro: Jeff Quach, Indy & what this episode covers
05:53 – From Haven to Indy: why the pivot in mental health tech
06:00 – Anthropology in product: culture, reciprocity & trust
08:11 – Designing for trust: small choices that compound
10:17 – Where AI supports, not replaces, human care
12:09 – Problem space: parents, families & complex journeys
14:14 – Haven lessons: support across age stages and scope
17:27 – Early builder stories & shipping fast
21:15 – Founder persistence and the “desert walk”
24:04 – ICP clarity: serving parents first
26:17 – Finding the right co-founder (Antler signals & fit)
31:33 – Parent outcomes: progress they can see
35:00 – Mental health models: what AI can/can’t solve
37:02 – Inside Indy: product shape & value moments
41:40 – Workflow stack: Notion (AI), ops, cadence
44:53 – Safety & guardrails: avoiding overreach
49:30 – Tools recap: Claude, Notion AI, practical tips
51:30 – Closing: key takeaways & what’s next
What you’ll learn
- Applying anthropology to product: cultural relativism, reciprocity & trust → better UX and retention
- The limits of “self-solving” mental health; designing tech that restores human-to-human connection
- Why Jeff wound down Haven and built Indy with safety guardrails and a parent-first journey
- Co-founder fit via Antler: complementary skills, oxygen for the journey, signals that you’re on the right path
- Hyper-personalisation that isn’t creepy: small preference shifts that build long-term trust
- Tools & stack: Notion + Notion AI, Claude (Code), rapid prototyping, lightweight agents
- Career & founder advice: go wide, ship often, persist, and avoid “big-name” co-founder traps
About Jeff
Product and AI leader with roots in financial services and SafetyCulture, a background in social anthropology, and founder/operator across Haven (mental health) and Indy (AI for parents). Jeff’s lens: build value where people feel it daily—then earn trust with clear trade-offs and smart guardrails.
Who this episode is for
Founders and PMs shipping AI into health, family & education contexts
UX/CX leaders chasing evidence-backed trust and adoption
Builders validating AI products without losing the human
Episode links:
Check out the Indi App: https://projectindi.com/
Check out Jeff Quach: https://www.linkedin.com/in/jeffreyquach/
Support the show

Other Links
🎙️our podcast links here: https://digitalnexuspodcast.com/
👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
👤 Mark on Twitter - https://twitter.com/captdefi
SHOWNOTE LINKS
🔗 SIKE - https://sike.ai/
🌐Digital Village - https://digitalvillage.network/
🌐NotCentralised - https://www.notcentralised.com/
YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
X (twitter): @DigitalNexus

  continue reading

9 episodes

Artwork
iconShare
 
Manage episode 515996630 series 3584105
Content provided by Chris Sinclair and Mark Monfort, Chris Sinclair, and Mark Monfort. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Sinclair and Mark Monfort, Chris Sinclair, and Mark Monfort or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

From hacking mainframes to building Haven (mental health) and now Indy, an AI co-pilot helping families navigate paediatric and developmental care, Jeff Quach shares a builder’s journey grounded in anthropology, trust, and real-world impact. We unpack when AI should support human care (not replace it), why guardrails matter, how to find the right co-founder, and the gritty reality of bootstrapping (“the desert walk”), plus practical tools and workflows you can use today.
Time stamps
00:00 – Intro: Jeff Quach, Indy & what this episode covers
05:53 – From Haven to Indy: why the pivot in mental health tech
06:00 – Anthropology in product: culture, reciprocity & trust
08:11 – Designing for trust: small choices that compound
10:17 – Where AI supports, not replaces, human care
12:09 – Problem space: parents, families & complex journeys
14:14 – Haven lessons: support across age stages and scope
17:27 – Early builder stories & shipping fast
21:15 – Founder persistence and the “desert walk”
24:04 – ICP clarity: serving parents first
26:17 – Finding the right co-founder (Antler signals & fit)
31:33 – Parent outcomes: progress they can see
35:00 – Mental health models: what AI can/can’t solve
37:02 – Inside Indy: product shape & value moments
41:40 – Workflow stack: Notion (AI), ops, cadence
44:53 – Safety & guardrails: avoiding overreach
49:30 – Tools recap: Claude, Notion AI, practical tips
51:30 – Closing: key takeaways & what’s next
What you’ll learn
- Applying anthropology to product: cultural relativism, reciprocity & trust → better UX and retention
- The limits of “self-solving” mental health; designing tech that restores human-to-human connection
- Why Jeff wound down Haven and built Indy with safety guardrails and a parent-first journey
- Co-founder fit via Antler: complementary skills, oxygen for the journey, signals that you’re on the right path
- Hyper-personalisation that isn’t creepy: small preference shifts that build long-term trust
- Tools & stack: Notion + Notion AI, Claude (Code), rapid prototyping, lightweight agents
- Career & founder advice: go wide, ship often, persist, and avoid “big-name” co-founder traps
About Jeff
Product and AI leader with roots in financial services and SafetyCulture, a background in social anthropology, and founder/operator across Haven (mental health) and Indy (AI for parents). Jeff’s lens: build value where people feel it daily—then earn trust with clear trade-offs and smart guardrails.
Who this episode is for
Founders and PMs shipping AI into health, family & education contexts
UX/CX leaders chasing evidence-backed trust and adoption
Builders validating AI products without losing the human
Episode links:
Check out the Indi App: https://projectindi.com/
Check out Jeff Quach: https://www.linkedin.com/in/jeffreyquach/
Support the show

Other Links
🎙️our podcast links here: https://digitalnexuspodcast.com/
👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
👤 Mark on Twitter - https://twitter.com/captdefi
SHOWNOTE LINKS
🔗 SIKE - https://sike.ai/
🌐Digital Village - https://digitalvillage.network/
🌐NotCentralised - https://www.notcentralised.com/
YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
X (twitter): @DigitalNexus

  continue reading

9 episodes

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