daylyPrivate Alpha
Customer intelligence for product teams who ship dayly.
Dayly is the product context layer for software teams shipping with agents. One graph that pulls signal from your analytics, calls, tickets and docs - and feeds it to every PM, designer, developer, and agent that touches your product.
what features users asked in last week's calls and can you fetch some stats to validate/test it?
🎯 Feature asks · last 7 days · 6 calls
1. Bulk broadcast — 4 mentions · 3 accounts
2. CRM sync — 2 mentions · 1 buying signal
3. Multi-brand dashboard — 2 mentions
Validation (PostHog · last 30d):
• 47% of demo accounts hit broadcast quota
• Accounts using broadcast: 2.3× weekly retention
"We keep losing time switching between our CRM and the broadcast tool"
Used by product teams at
01
Product building has changed. Your context needs to keep up.
Roadmaps collapsed from quarters to days, and feedback floods in from everywhere. The new PM job: turn that stream into direction so the team ships the right things fast.
Inputs
A stream of signal — flowing in 24/7, from everywhere.
One product team, one week. Every dot is a piece of context a PM is supposed to read, route, and respond to.
last 7 days
Calls
Fireflies · Granola · Grain
0
Support tickets
Zendesk · Intercom
0
Analytics anomalies
PostHog · Mixpanel · GA4
0
Slack threads
#feedback · #cust-success
0
Sales notes
Salesforce · HubSpot
0
Surveys & NPS
Typeform · in-app
0
Total signal volume hitting one team
87 / week
PM hours to read, route, and respond
40 / week · finite
the PM signal layer
Output
And a roadmap that no longer waits.
The release cycle collapsed. Teams ship daily — but only as well as the context they had when they decided.
Then
~32 weeks → 1 release
1
Now
7 days → continuous
0
02
Dayly combines it in your place of work
All in your slack. No context switching.
how is onboarding performing?
📊 Onboarding Performance · last 30 days
Completion rate: 58% ↓4% vs prev. month
Drop-off hotspot: Step 3 — email verification (34%)
Mobile: 41% vs desktop 62%
Source: PostHog funnel "user_onboarding"
"The verification email took 10 minutes to arrive"
Product Knowledge Graph
Every signal dayly ingests gets linked into this graph — so when you ask a question, the answer draws from the full chain of evidence.
dayly discovers.
You decide.
Agents execute.
Synthesised from signals across PostHog, Fireflies, GitHub, and GA4
03
Coming soonAgents that work while you sleep.
Define a research task once. dayly runs it on your schedule — and delivers the answer wherever you already are.
Competitor Watch
Monitors product pages, changelogs, and reviews for competitor moves.
Last delivery
›Competitor A shipped batch export — overlaps OPP-32
›2 new G2 reviews mention pricing friction
Every morning · 8 AM
Review Digest
Pulls new reviews from G2, Capterra, and App Store. Clusters themes.
Last delivery
›Top theme this week: slow CSV export (9 mentions)
›NPS detractor spike — onboarding step 3
Every Monday · 9 AM
NPS & Survey Sync
Ingests Typeform and in-app survey responses. Scores and surfaces trends.
Last delivery
›NPS this week: 42 → 47 (+5)
›Promoter theme: speed of Slack answers
Every Friday · 6 PM
Slack Signal Triage
Scans #feedback and #support channels. Extracts signals, scores opportunities.
Last delivery
›14 new signals extracted from #feedback
›OPP-32 score updated: 81 → 87
Every day · 7 PM
04
Empower your team with the right context.
dayly powers the surfaces your team is already in.
OPP-32 is a shared opportunity ID — reference it in Slack, Figma, or your IDE and every agent instantly has the full context.
Layers
01
No new surface
Ask in Slack. Get answers in Slack.
02
No data hostage
Your data, your stack. dayly connects — it doesn't replace.
03
PM as conductor
You orchestrate. Agents execute. Every decision stays human.
05
Setup in minutes. Signal in hours.
01
Connect your sources
PostHog, GitHub, Fireflies, GA4. OAuth in 2 minutes. dayly immediately starts ingesting and indexing your product signals.
02
dayly builds your knowledge graph
Every signal ingested, embedded, and linked. Interviews become user quotes. Analytics become opportunity scores. Issues become context. Everything connects.
Users → Needs → Opportunities → Solutions → Outcomes
03
Ask, create, and dispatch
Q&A in Slack. Generate PRDs from evidence. Dispatch tasks to coding agents. Schedule research agents to run automatically on your timeline.
Connects to the tools your team already uses
Product & Analytics
Dev & Design
Customer & Sales
Communication