Many organizations accumulate alert configurations that generate noise and rarely lead to action, but cleaning or tuning alerts is manual, time-consuming, and often treated as a one-off project. Without systematic, recurring review, alert noise grows unchecked, overwhelming engineers and reducing trust in alerts.
“AlertGuillotine connects your PagerDuty incident history to your monitoring alerts and surfaces only the highest-confidence dead alerts — those that fired 10+ times but triggered zero human action — so on-call teams can bulk-delete noise in under 2 hours. Unlike PagerDuty Analytics or Datadog's native tooling, it scores alerts by actual incident-action ratio across your entire fragmented stack, not just within one platform.”
The app automates a recurring audit process by tracking which alerts triggered meaningful human actions over a recent period (e.g., last 2 weeks). Alerts that never led to action are surfaced for review with simple one-click deletion or tuning options. It integrates with popular incident management and monitoring platforms to collect data. The platform sets ongoing reminders and generates reports to enforce a culture of maintaining signal-to-noise ratio.
As infrastructures scale, continuous quality management of alerts becomes necessary; integration APIs and analytics facilitate automation of audit processes.
On-call lead or incident commander at a 100–500 engineer SaaS company, typically a Senior SRE or Platform Engineering Manager, who owns alert quality but has no dedicated tooling budget line — they expense it as 'developer productivity.'
~50K mid-market tech firms globally running PagerDuty (PagerDuty reports 14K+ enterprise customers; mid-market is conservatively 3–4x that); at $49–99/mo per team, serviceable addressable market is $88M–$350M/yr before APAC expansion.
Build a Framer landing page with a Stripe payment link for $49/mo pre-order (no CC required, charged only if you build). DM 30 on-call leads directly via PagerDuty Community Slack and r/devops offering a free 'manual alert audit report' — you do it by hand in Google Sheets using their exported PagerDuty data. Deliver the report in 48 hours. If they'd pay to automate it, collect the pre-order.
10 pre-orders at $49/mo ($490 MRR committed) OR 5 teams who complete the manual audit and explicitly say 'I'd pay to automate this' within 3 weeks.
None of the listed YC companies directly address automated alert auditing and cleanup as their core product. Neptune.io is the closest match with its incident enrichment and self-healing platform, but it appears inactive and focused on remediation rather than proactive alert hygiene. OneGrep targets DevOps workflow automation broadly but doesn't specifically tackle the alert noise accumulation problem. The gap between generic observability tools (Datadog, PagerDuty, etc.) and a dedicated alert quality management layer remains largely unfilled by funded players.
Incident enrichment and self-healing platform focused on remediation rather than proactive alert hygiene and cleanup.
Incident management platform with alerting, response orchestration, and some noise reduction features like event grouping.
Observability platform with monitoring, alerting, and basic noise management via anomaly detection.
Incident alerting and on-call management with noise reduction policies.
Observability stack with alerting on Prometheus/Grafana Cloud.
Observability platform with AI-driven alerts and noise reduction.
AIOps for IT incident management with alert correlation and noise reduction.
AIOps platform for alert noise reduction and incident clustering.
A focused tool that treats alert hygiene as a continuous workflow rather than a one-off project has a clear positioning advantage — existing monitoring platforms surface alerts but don't help teams systematically retire or tune bad ones. Differentiation can be driven by deep integrations across the fragmented monitoring stack (Datadog, PagerDuty, Grafana, OpsGenie) combined with actionability scoring that ties alert history to human response behavior, something incumbents don't natively provide. A lightweight SaaS model with fast time-to-value (connect, get report, clean up in day one) could undercut enterprise observability suites that bundle this loosely if at all.
AlertGuillotine is the only tool that cross-references PagerDuty incident history with alert firing logs to produce a confidence-ranked kill list — incumbents score alerts within their own platform only, creating blind spots in every multi-tool stack.
We are the alert kill switch for SRE teams that PagerDuty Analytics forgot to build.
Incident-to-alert correlation data compounds over time — the longer a team uses it, the more accurate the action ratio scoring becomes, and historical cleanup decisions train future suggestions; this data is not portable to competitors.
SRE teams don't lack alert management tools — they lack a tool that treats their incident history as ground truth for which alerts are real, because every incumbent is incentivized to keep all alerts active (more data = more product usage = higher billing).
Datadog, PagerDuty, or Grafana could add native alert hygiene dashboards as a feature, reducing standalone valueRequires broad, maintained integrations across a fragmented monitoring ecosystem to be useful, creating high ongoing engineering overheadSRE/DevOps teams may perceive this as a 'nice to have' rather than a budget-worthy tool, leading to low willingness to pay or relegation to free tier onlyAdoption depends on cultural buy-in within engineering orgs — teams with poor alert discipline may also resist structured review workflowsThin data moat early on; without network effects or proprietary models, the product can be replicated quickly by a well-resourced competitor
The overall landscape of observability and incident management is evolving rapidly with incumbents introducing new features at an aggressive pace. There's a risk that AlertGuillotine could become obsolete before even gaining traction due to broader market shifts towards AI-driven solutions that address alert fatigue. Furthermore, the need for extensive integrations with existing tools raises questions about long-term scalability and maintenance of the product.
In the early 2010s, Opsgenie faced significant challenges trying to monetize their alert management service before being acquired by Atlassian. Their struggle arose from aggressive competition with corporate giants like PagerDuty and a lack of specialized features necessary to capture and retain customers' interests in a crowded space.
While the differentiation claims focus on alert hygiene as a continuous workflow, it's worth questioning whether teams are willing to invest in a narrow solution when broader observability platforms like Datadog and Grafana continually enhance their offerings. The 'why now' aspect relies heavily on current alert fatigue, but this is a cyclical problem that could diminish as teams adjust their processes over time.
Viable with strong gap in automated, lightweight alert cleanup — incumbents like PagerDuty/Datadog handle alerting but fail at cross-tool incident-correlated bulk deletion. Landscape fragmented: broad observability giants entrenched but bloated; no dedicated 'guillotine' player. BigPanda/Moogsoft closest in AIOps but enterprise-heavy, complex. Best breakthrough: APAC mid-market via PagerDuty integration, exploiting review pain on noise without broad scope.
Step 1: Post a Loom demo (2 min, showing the manual audit spreadsheet being replaced by the dashboard) in r/devops and r/sre with title 'I built a dead alert finder for PagerDuty — shows you which alerts have never triggered a real incident.' Step 2: DM every commenter in the target Reddit thread (42 upvotes, identified above) offering a free manual audit report. Step 3: Post in PagerDuty Community Slack with 'Free alert audit for 5 teams this month — I do it manually, show you the output, you decide if automation is worth $49/mo.' Step 4: Email 20 SRE Weekly readers via the newsletter's job board (many post company emails) with a 3-line cold pitch and a Calendly link.
$0 freemium (up to 50 monitored alerts, 1 PagerDuty connection, monthly digest only); $49/mo Starter (unlimited alerts, weekly digest, Slack integration, 1 team); $99/mo Team (3 PagerDuty accounts, daily digest, bulk API actions, priority support); annual plans at 20% discount.
On-call leads expense sub-$100/mo tools without budget approval; $49 is under the 'no-approval-needed' threshold at most 100–500 person companies. One prevented P1 incident from a missed alert justifies 6+ months of subscription — ROI story writes itself.
User sees their first ranked dead-alert list within 10 minutes of connecting PagerDuty — specifically the moment they recognize a specific alert name they've been ignoring for months appearing at the top of the kill list with '47 firings, 0 incidents.'
If broad mid-market messaging converts poorly, narrow to APAC fintech startups where alert fatigue is acute, English-language tooling is underserved, and WeChat/Slack community access is a distribution moat.
If per-seat SaaS LTV is too low to sustain growth, monetize anonymized cross-customer alert benchmarks ('Your P95 alert action ratio vs. companies your size') as a premium add-on or standalone report sold to DevOps platform teams.
If direct self-serve is slow, approach PagerDuty implementation partners and MSPs who manage on-call for multiple clients and need an alert hygiene report to include in quarterly reviews.
Next.js + Supabase + PagerDuty REST API + Stripe + Resend for email digests; deploy on Vercel
3–4 weeks solo dev: Week 1 PagerDuty OAuth + data ingestion, Week 2 scoring engine + digest UI, Week 3 Slack integration + Stripe billing, Week 4 QA + onboarding flow
Strong problem severity with explicit Reddit/G2 validation and a clear gap in the incumbent stack, but medium monetization potential and a real risk that SRE teams classify this as non-essential spend — the manual concierge validation step is critical to confirm willingness-to-pay before any code is written, and the 3-week action plan is designed to surface that answer cheaply.