HighNeeds attention
Engineering ownership is increasingly concentrated
72% of merged code this month came from one contributor.
- Current
- 72%
- 4-week baseline
- 49%
Recommended action
Review ownership concentration before it becomes a delivery risk.
The intelligence layer for startups
Know what is happening inside your startup.
Ember connects to the systems your company already uses and continuously understands what changed, what matters, and what you should do next.
- See what changed.
- Understand what matters.
- Know what to do next.
Private beta. Built for founders and early stage teams.
OverviewExample
acme/product · synced 2h agoWhat changed this week
- Engineering velocity
- 18commits+18%
- Deploy reliability
- 96%+15 pts
- Active contributors
- 5people+1
- PR cycle time
- 11.4h−9%
Improvement
Deployment reliability recovered
Success rate increased from 81% to 96% over four completed weeks.
- Current
- 96%
- Baseline
- 81%
Understands the systems your startup already uses.
Ember reads them on a schedule, normalises what it finds, and keeps one model of the company up to date.
- GitHubAvailable
Commits, pull requests, deployments
- StripeComing soon
Revenue and billing
- LinearComing soon
What gets built
- VercelComing soon
Shipping and uptime
- MercuryComing soon
How money moves
- HubSpotComing soon
Pipeline and customers
Your startup already produces the answers.They are just buried everywhere.
- GitHubknows how your team ships.
- Stripeknows how revenue moves.
- Linearknows what gets built.
- Mercuryknows how money moves.
Individually they are accurate. Collectively they do not understand the company — no system holds the whole picture, so nobody can be told what changed across all of it.
- GitHub
- Stripe
- Linear
- Mercury
- Vercel
Ember
Reads every source on a schedule
What is true?
Company Model
What changed?
Signals
What does it mean? What should we do?
Aether
Open Ember and know what changed.
Signals
A ranked feed of changes that actually matter.
Ember only raises a finding when a change is large enough to be worth acting on. Quiet weeks stay quiet.
RiskHigh confidence
Key person dependency increased
- Contributor concentration
- 49%→72%
Company
A continuously updated model of how your startup operates.
Domains Ember cannot yet see say so, instead of being filled with something that looks like data.
- Engineering12 measurements · 8 weeks
- Team3 measurements
- FinanceNeeds confirmation
- ProductNo source connected
- GrowthNo source connected
Aether
Ask your company questions.
Answers grounded in your actual operating context, not in generic advice about startups.
FounderWhy did engineering velocity fall this month?
Aether
Commit volume fell 24%, but the larger change was PR cycle time increasing from 9.8 to 16.1 hours. The slowdown coincided with contributor activity becoming increasingly concentrated.
- GitHub metrics
- 4 completed weeks
- 3 supporting signals
Aether answers from your company's model today. The inline source citations shown here are the interface being built next.
First high-stakes use case
Know what investors will see before you raise.
Diligence surfaces the operating facts you have stopped noticing. Ember surfaces them first, with the evidence underneath, while there is still time to act.
- Execution inconsistency
- Key person dependency
- Deployment problems
- Team concentration
- Operating weaknesses
- Positive momentum
The score is not the product. The underlying company intelligence is.
Fundraising readiness
Ready74/ 100
- Ship
- 82
- Crew
- 67
- Runway
- 73
Top issue
Engineering ownership is concentrated around one contributor.
Recommended action
Reduce key person dependency before entering diligence.
Ember is not another dashboard.
- show metrics
- explains what changed
- require interpretation
- prioritises what matters
- separate systems
- one company model
- historical reporting
- continuous understanding
- static charts
- evidence-grounded signals
- answer “what happened?”
- answers “what happened, why, and what next?”
Traditional dashboards
Ember
Every startup will eventually have a machine readable model of itself.
Ember builds that model from the systems the company already uses.
Systems of record
GitHub, Stripe, Linear, Mercury, Vercel.
Ember Company Model
What is true?
Signals
What changed?
Aether
What does it mean? What should we do?
Built for teams moving too fast to notice everything.
Seed founders
Understand whether execution is actually improving before the next board meeting or fundraise.
Technical founders
See engineering health without turning the startup into enterprise reporting bureaucracy.
Lean teams
Catch operating problems before they become outages, missed milestones, meetings, or investor surprises.
Build with more visibility.
Ember is opening access gradually to early stage companies.