Delulu: Dream it. Do it. Prove it.
Most apps track goals.
Delulu tracks execution.
Delulu is built for the gap between inspiration and action — the moment where people save content, feel motivated, and still don’t move.
Instead of starting with a blank planner, Delulu starts with real user behavior: a saved link or a raw goal.
Paste a TikTok, Reel, YouTube link, or website.
Delulu turns it into a step-by-step execution path, daily micro-actions, and visible proof of completion.
Inspiration
I built Delulu from lived experience.
I’m Gen Z, chronically online, and I have ADHD. I save ideas constantly like travel plans, routines, career advice but the hard part is execution consistency, not inspiration.
Gabby Beckford’s brief resonated because her audience is exactly this user: ambitious women with big goals who need a system that makes follow-through realistic in everyday life.
Delulu is designed for that exact use case: from “I saved it” to “I did it.”
What It Does
1) Link-to-Action Engine (core differentiator)
Most products ask users to manually plan. Delulu removes that friction.
- User pastes a TikTok/YouTube/blog link (or types in a goal)
- Delulu extracts intent and converts it into clear, practical steps
- Steps are structured into an execution path, not a brainstorm list
2) Sprint + Daily Micro-Action System
Large goals become manageable through layered planning:
- Sprints = medium-horizon progression blocks
- Today action = one clear, doable next step
- Progress is always actionable: “what do I do now?” is never ambiguous
3) Lulu Accountability Coach
Lulu gives short, direct, action-first support:
- Helps users unblock when stuck
- Maintains momentum without overwhelming long responses
- Designed for low attention bandwidth and real-life consistency
4) Proof-Based Progress
Delulu emphasizes evidence, not intention:
- Complete action → instant confetti + haptics reward
- Generate a shareable Polaroid-style proof card (camera/gallery)
- Save to Proof Wall (visual receipts of follow-through)
- View consistency on a tappable show-up timeline
This creates a reinforcing loop: action → reward → proof → identity shift.
Challenges I Ran Into
- Reducing generation latency while preserving output quality
- Constraining AI outputs into concise, executable actions
- Eliminating edge-case failures in completion → proof capture flow
- Hardening proof upload/delete state and persistence
- Keeping UX cohesion across onboarding, add-goal, and daily flow
Accomplishments I’m Proud Of
- Shipped a complete product loop, not just a concept demo
- Built a clear differentiation point (link-to-action execution)
- Designed for ADHD-friendly usability (low-friction, short-step progression)
- Implemented proof-first behavior design to increase consistency
- Aligned product directly to Gabby’s audience and brief
What I Learned
- Product polish is a growth feature, not cosmetic work
- Behavior design matters as much as model capability
- AI is most useful when tightly constrained by UX intent
- In hackathon conditions, depth in one core loop beats breadth of shallow features
What’s Next for Delulu
- Adaptive planning based on completion behavior and pacing
- Smarter Lulu accountability prompts + better notification timing
- Deeper personalization by goal category and sprint performance
- Expanded proof-sharing and social accountability loops
- Potential integration path with curated paid travel opportunities relevant to Gabby’s audience
Delulu is for people done waiting for “someday.”
Dream it. Do it. Prove it.
Built With
- eas-build
- expo.io
- express.js
- javascript
- node.js
- openai-api
- postgresql
- prisma
- railway
- react-native
- revenuecat
- testflight
- xcode
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