Connect every signal. Close every loop.
OpsTower connects to everything your company knows, reasons across all of it, and does the work on top — from the reports your team wakes up to, to AI employees who do the work autonomously. The whole stack, live today.
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The AI-native stack
An AI-native company is built in layers — where software doesn't just store your data, it understands it, reasons over it, and does the work. Most teams try to get there by wiring ten tools into a Slack channel. OpsTower is the engine underneath: one system that climbs every layer, from raw connections to employees who do the job themselves.
The stack
From connected data to fully autonomous employees — OpsTower is the intelligence layer at every tier of your company. Most tools stop at one level. OpsTower spans the whole stack, so each layer does more on your behalf than the one below.
Your progress
It does the work
Employees · Beta
It thinks for you
Reports
Reasoning
Intelligence
Understanding
Context
Access
Connections
01 · Access
Connections
Databases, logs, analytics, support, payments, code — and anything else via custom APIs and MCP servers. Connect the systems your company actually runs on, in one place.
02 · Understanding
Context
Feed it your PRDs, docs, and decisions; connect Drive and Notion. OpsTower doesn't start from zero like a generic chatbot — it learns your company, and gets sharper the longer it runs.
03 · Reasoning
Intelligence
Agents read across every connected system at once — logs, deploys, analytics, tickets — to investigate bugs and surface insights a human would miss. The error in Sentry that explains the drop in the dashboard. The deploy that broke checkout. Cross-system patterns no one has time to hunt down manually.
04 · It thinks for you
Reports
Every morning, OpsTower has already read what changed and written it up — what moved, why, and what to do next. In your inbox, your Linear, the channel your team already lives in. No dashboards. No prompting.
Morning report delivered · tickets auto-created
RoastBox launched a freemium tier yesterday and is already bidding on your top keywords. Their onboarding flow skips the flavor quiz — worth watching whether that converts better on cold traffic.
Competitor A: +18% social mentions after Spring campaign
Competitor B: new pricing page emphasizes gifting — overlaps your campaign
Recommended: counter-position on personalization in this week's email
05 · It does the work
Employees · Beta
AI employees that own a role, hold a KPI, manage their own schedule, and report in like the rest of your team. A Market Analyst who tracks your market and ships the briefs. A Content Strategist who knows your voice and keeps the engine moving. They onboard like a real hire, learn from each other, and escalate to you when it matters. More roles ship every month.
AI employee role
Tracks competitors, positioning shifts, and market themes — then ships the briefs your team actually reads.
AI employee role
Owns your organic content engine — plans, drafts, and learns from what lands across blog and social.
AI employee role
Runs and optimizes paid campaigns across Meta, Google, and LinkedIn — connecting spend to product and revenue signals.
AI employee role
Understands product performance, analyzes feature impact, and identifies what to build next — grounded in your connected data.
Beta means live and evolving fast — you're shaping how these roles work.
Closed loops across the startup
Every employee should wake up to a clear list of priorities built from signals across the company, not a pile of dashboards and disconnected updates.
Founder pulse
A daily brief pulls from product, revenue, quality, support, and backlog signals so leadership starts with the actual business picture.
Product loop
OpsTower can connect feature usage, support complaints, app reviews, tickets, and revenue impact into a clear product recommendation.
Engineering loop
Systems operations reports can correlate logs, Sentry, source code, deploy history, and database state, then create tickets and route fixes to coding agents.
Autonomous employees
OpsTower employees aren't chatbots waiting for prompts. They own a role, hold a KPI, and operate inside your company the way a real hire would — managing their schedule, reporting in, and collaborating across the org.
They manage their own time.
Set recurring work — daily briefs, weekly scans, one-off tasks — and they wake up, run, and deliver without being asked again.
They report to a manager.
Every employee has a manager, a job title, and a KPI. They check in with updates and escalate when something needs a human call.
They work with the whole team.
They email teammates, chat with other employees, and loop in whoever needs context — human or digital.
They learn over time.
Onboarding, long-term memory, peer handoffs, and reflection loops mean they get sharper the longer they run — not reset every conversation.
Built for AI-native companies
AI-native teams need more than point copilots. They need the company to become agent-readable: every workflow captures signals, those signals feed an intelligence layer, and the next decision gets better.
Watch YC recommendation for startupsOld stack
Dashboards, tickets, support threads, logs, and revenue data each wait for a human to connect the dots.
AI-native stack
Every system becomes context an agent can inspect, reason over, and carry into the next workflow.
OpsTower
The connective tissue between company data and the recurring loops your team wants to run.
A concrete loop you can run today
Sample daily reports showing what OpsTower generates for a coffee subscription SaaS startup. The report is one visible artifact of the larger system: connected data, agent reasoning, and reusable company context.
Product Analytics
Daily metrics, anomaly detection, and actionable recommendations for product, engineering, and marketing.
Wednesday, March 25, 2026
Tuesday's email campaign ("Spring Roast Drop") drove a record traffic day — 4,210 unique visitors, up 62% — but trial-to-paid conversion quietly dropped to 4.1%, the lowest in three weeks. The root cause: a Stripe webhook timeout introduced in Monday's deploy is silently failing 8% of checkout completions, so users think their subscription didn't go through and abandon. MRR still grew to $48,400 thanks to volume, but the team is leaving roughly $3,800/day on the table until the webhook issue is fixed.
| AREA | STATUS | SUMMARY |
|---|---|---|
| Acquisition (new visitors, signups) | HEALTHY | 4,210 unique visitors today — up 62% from yesterday (2,598) and up 41% vs. last Wednesday (2,980). The Spring Roast campaign is driving strong top-of-funnel traffic. |
| Engagement (sessions, feature usage) | HEALTHY | 5,840 sessions with an average duration of 4m 32s, up from 3m 48s yesterday. Flavor Quiz completions hit an all-time high of 680. Users are exploring the product. |
| Activation (trial starts, first order) | NEEDS_ATTENTION | 312 new trial signups (healthy), but only 64 converted to a paid subscription — a 4.1% rate vs. the 7-day average of 6.8%. The drop started Monday and is getting worse. |
| Revenue (MRR, transactions) | NEEDS_ATTENTION | MRR grew to $48,400 (+$620 net new today), but 23 checkout attempts failed silently — an estimated $3,800 in lost daily revenue. Without the webhook bug, today would have been the best revenue day this quarter. |
| METRIC | TODAY (MAR 25) | YESTERDAY (MAR 24) | 7-DAY AVG (MAR 19–25) | SAME DAY LAST WEEK (MAR 18) | DAY-OVER-DAY | VS. LAST WEDNESDAY |
|---|---|---|---|---|---|---|
| Unique Visitors | 4,210 | 2,598 | 2,870 | 2,980 | +62.0% | +41.3% |
| Total Sessions | 5,840 | 3,410 | 3,650 | 3,920 | +71.3% | +49.0% |
| New Signups | 312 | 198 | 215 | 224 | +57.6% | +39.3% |
| Trial-to-Paid Rate | 4.1% | 5.2% | 6.8% | 7.1% | −21.2% | −42.3% |
| Paid Conversions | 64 | 52 | 73 | 80 | +23.1% | −20.0% |
| Avg Session Duration | 4m 32s | 3m 48s | 3m 55s | 4m 05s | +19.3% | +11.0% |
| Flavor Quiz Completions | 680 | 390 | 420 | 445 | +74.4% | +52.8% |
| Gift Subscriptions Sent | 89 | 34 | 41 | 38 | +161.8% | +134.2% |
| Subscription Upgrades | 28 | 22 | 19 | 18 | +27.3% | +55.6% |
| Churned Subscriptions | 12 | 15 | 14 | 11 | −20.0% | +9.1% |
| MRR | $48,400 | $47,780 | $47,200 | $45,900 | +1.3% | +5.4% |
| Revenue Today | $4,480 | $3,640 | $3,290/day | $3,120 | +23.1% | +43.6% |
Product Analytics
Daily metrics, anomaly detection, and actionable recommendations for product, engineering, and marketing.
Wednesday, March 25, 2026
Tuesday's email campaign ("Spring Roast Drop") drove a record traffic day — 4,210 unique visitors, up 62% — but trial-to-paid conversion quietly dropped to 4.1%, the lowest in three weeks. The root cause: a Stripe webhook timeout introduced in Monday's deploy is silently failing 8% of checkout completions, so users think their subscription didn't go through and abandon. MRR still grew to $48,400 thanks to volume, but the team is leaving roughly $3,800/day on the table until the webhook issue is fixed.
| AREA | STATUS | SUMMARY |
|---|---|---|
| Acquisition (new visitors, signups) | HEALTHY | 4,210 unique visitors today — up 62% from yesterday (2,598) and up 41% vs. last Wednesday (2,980). The Spring Roast campaign is driving strong top-of-funnel traffic. |
| Engagement (sessions, feature usage) | HEALTHY | 5,840 sessions with an average duration of 4m 32s, up from 3m 48s yesterday. Flavor Quiz completions hit an all-time high of 680. Users are exploring the product. |
| Activation (trial starts, first order) | NEEDS_ATTENTION | 312 new trial signups (healthy), but only 64 converted to a paid subscription — a 4.1% rate vs. the 7-day average of 6.8%. The drop started Monday and is getting worse. |
| Revenue (MRR, transactions) | NEEDS_ATTENTION | MRR grew to $48,400 (+$620 net new today), but 23 checkout attempts failed silently — an estimated $3,800 in lost daily revenue. Without the webhook bug, today would have been the best revenue day this quarter. |
| METRIC | TODAY (MAR 25) | YESTERDAY (MAR 24) | 7-DAY AVG (MAR 19–25) | SAME DAY LAST WEEK (MAR 18) | DAY-OVER-DAY | VS. LAST WEDNESDAY |
|---|---|---|---|---|---|---|
| Unique Visitors | 4,210 | 2,598 | 2,870 | 2,980 | +62.0% | +41.3% |
| Total Sessions | 5,840 | 3,410 | 3,650 | 3,920 | +71.3% | +49.0% |
| New Signups | 312 | 198 | 215 | 224 | +57.6% | +39.3% |
| Trial-to-Paid Rate | 4.1% | 5.2% | 6.8% | 7.1% | −21.2% | −42.3% |
| Paid Conversions | 64 | 52 | 73 | 80 | +23.1% | −20.0% |
| Avg Session Duration | 4m 32s | 3m 48s | 3m 55s | 4m 05s | +19.3% | +11.0% |
| Flavor Quiz Completions | 680 | 390 | 420 | 445 | +74.4% | +52.8% |
| Gift Subscriptions Sent | 89 | 34 | 41 | 38 | +161.8% | +134.2% |
| Subscription Upgrades | 28 | 22 | 19 | 18 | +27.3% | +55.6% |
| Churned Subscriptions | 12 | 15 | 14 | 11 | −20.0% | +9.1% |
| MRR | $48,400 | $47,780 | $47,200 | $45,900 | +1.3% | +5.4% |
| Revenue Today | $4,480 | $3,640 | $3,290/day | $3,120 | +23.1% | +43.6% |
Systems Operations
System health, error tracking, deployment correlation, and prioritized issue resolution.
Report Date: Thursday, 2026-03-26
Generated: End of day | Coverage: 2026-03-20 → 2026-03-26
The platform is partially degraded with two high-severity issues persisting since Monday's payment-service deploy. The Stripe webhook timeout (checkout.session.completed handler exceeding Cloudflare's 30s CPU limit) is now confirmed as the root cause of the 8% checkout failure rate flagged in yesterday's analytics report — 68 subscriptions have been charged but never activated over the past 3 days. A Supabase connection pool exhaustion issue emerged overnight, causing intermittent 500s on the subscription API for ~12 minutes before self-recovering. The recommendation engine's Cloudflare Worker is hitting CPU time limits on 4.2% of requests, producing stale "You might also like" suggestions for affected users. On the positive side, the hotfix for the webhook race condition (commit b7e3a42) deployed yesterday is confirmed working — duplicate subscription events dropped to zero.
At a Glance:
| SYSTEM | STATUS |
|---|---|
| Checkout & Payments | Degraded — 8% of checkouts failing silently due to webhook timeout, 68 stuck subscriptions over 3 days |
| Subscription API | Recovered — Supabase pool exhaustion caused 12 min of 500s overnight; self-healed after idle connections were reaped |
| Recommendation Engine | Degraded — 4.2% of requests hitting Worker CPU limit, returning stale suggestions |
| Email Delivery (Resend) | Healthy — 100% delivery rate, avg latency 1.2s |
| Inventory Sync | Healthy — all warehouse feeds processing within SLA |
| Scheduled Jobs (Cron) | Healthy — all 6 cron triggers firing on schedule |
Connected company graph
OpsTower is built around connected systems, not isolated demos. Each integration gives agents another part of the company context they need to explain what happened and what should happen next.
Analytics
PostHog, GA4, Amplitude, Mixpanel
Errors and logs
Sentry, Axiom, Cloudflare, AWS, Google Cloud
Revenue
Stripe, Paddle, Chargebee, Braintree
Product data
SQL, D1, Supabase, ClickHouse, MongoDB, DynamoDB
Work tracking
Linear, Jira, GitHub, Bitbucket, GitLab
Go-to-market
Meta Ads, Google Ads, X, LinkedIn, Facebook, Instagram
Customer signal
Intercom, Zendesk, App Store Connect
Extensibility
External APIs, knowledge files, attached reports
Issues found. Tickets filed.
Systems operations reports do not just say something broke. When ticketing is enabled, they can create issues with severity, classification, relevant evidence, and links back to the report.
From intelligence to operations
OpsTower is moving from agents that answer and report toward persistent employees that own recurring loops. The foundation is the same: connected systems, knowledge, and company context.
