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.

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