Temperature Flow Dating

Inspiration

My own dating app journeys turned out to be problematic, inefficient, and energy-draining

What it does

Empower growth-minded women to discover truly compatible partners through evidence-driven insights — saving time, protecting emotional energy, and sparking lasting chemistry.

How we built it

Leverage personal dating preferences, chat message contexts, self-reflection inputs, etc. to allow agents to provide 'compatibility scores' and 'in-flow coaching' during online dating.

Challenges we ran into

1. Clarify / validate the right scenarios
2. Data privacy and compliance
3. Differentiator with the competitors ## Accomplishments that we're proud of A functioning prototype that is posted to TestFlight for internal testing (invites by emails), which can collect initial feedback on the overall core function designs/major product concepts. Problems that the app tackles:
4. Time sink & burnout: Women lose hours in endless swiping and report the highest ‘dating app fatigue’, leaving them emotionally drained before real connections can even form.
5. It’s difficult to build real momentum when expectations clash - single men are more likely than women to be casually “window-shopping,” leaving purpose-driven users stuck in mismatched interactions.

What we learned

Testing and iteration is KEY.

What's next for Temperature Flow Dating

1. Prototype iteration based on early testers' feedback; while assemble resources to enhance codebase and integrate with backend frameworks.
2. Recruit Affiliating Community to get traction (pilot). Target 120 early users (beta) with NPS ~ 78.
3. [Aug-Oct 2025] Experiment branding/marketing strategy - content engine (TikTok, LinkedIn) Bundles with female-led communities, podcasts, career platforms.
4. [Dec 2025] Convert & retain pilot users; Deepen product moat: UX, backend services performance; Pitch for Pre-Seed round

Built With

• agent
• chatframework
• flutter
• openai
• recommendation