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Dalil

AI-native GTM memory for products, teams and companies. Capture feedback, surface recurring themes, and log evidence-backed decisions.

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  • dalil@dynelabs.org
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Dalil — Developed by Sakib, Sakib & Ubaid at Dyne Labs © 2026

Built for hack.msa 2026 · Go To Market track

Dalil · AI-native GTM memory for products, teams and companies

Stop losing what the market already told you.

Dalil captures customer conversations, business feedback, reconciles Dalil AI and team understanding into a trusted source of truth, recalls similar issues from the past, and links every decision to the evidence behind it.

I want to validate a startup ideaHelp me turn customer notes into insightWhat patterns are showing up in my latest calls?
Create DashboardAdd feedbackOpen Idea Vault
Signals captured8
Decisions logged6
Memories indexed8
Outcomes tracked6

How Dalil works

Built for the 0→1 stage, not the 0.5→1 stage.

Three primitives that make team learning compound: capture what the market said, surface what happened last time, and link every decision to the evidence behind it.

Consensus Capture

The AI proposes its reading of a call or note. You correct, confirm, and the final version becomes the canonical memory — never a raw summary.

Similar-Issue Recall

When a new signal lands, Dalil surfaces semantically similar past issues and the decisions that followed — so you don't re-solve a problem you already answered.

Recent memory

Recent Memories

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Outcome · improvedOperations
1 day ago

Improved: Extend delivery window to midnight on weekends

Late-night weekend pilot at UT Austin ran 3 weeks. Conversion +23% vs. baseline; retention held at 68% vs. 45%.

HDFrom Halal Delivery 0→1

Evidence for every next move.

Build with the calm that comes from knowing your last call, last decision, and last outcome are all still working for you.

Start with an ideaOpen a workspace

Decision Timeline

Every decision is logged with its evidence and expected outcome. When the real outcome lands, the learning loop closes — and what to test next gets clearer.

Outcome · improvedProduct
2 days ago

Improved: Ship fiqh-aware calc methods (Hanafi, Shafi, ISNA, MWL) from day one

Four masjids activated in week one after fiqh picker shipped. Support tickets about calc methods dropped to zero.

PTFrom Prayer-Time SaaS
Feedback
3 days ago

Call with Imam Faisal, suburban masjid admin

Every tool assumes one madhhab — my board is split and I'm the one caught in the middle.

PTFrom Prayer-Time SaaS
AI Insight

Display halal certifier badge on every restaurant card

Certifier invisibility showed up in both restaurant interviews and the student survey's authenticity theme.

Review Synthesis