I build Gumloop systems for Operations teams at software companies and VC firms to eliminate bottlenecks, scale repeatable work, and hand ownership to your team.
Outcomes:
• 3–5x workflow capacity without adding headcount
• Days → hours cycle times; 10–15 hrs/week back per ops engineer
• Reliability: monitored, retryable runs (<15 min) your team can maintain
DFY Services: (Examples)
• Ops @ Software: recruiting ops, employee onboarding/offboarding, ticket triage/routing, document/intake processing, approvals, compliance evidence capture
• VC Ops: DD intake → parsing → CRM (Attio/Airtable), portfolio KPI collection → normalize → warehouse (Snowflake/BigQuery) → Slack alerts, LP update prep (Docs/Slides), research ops with audit trails
Workshops & Enablement
• AI adoption: prompting, patterns, and what’s possible
• Gumloop enablement: build patterns, modules, and safeguards
• Handoff: SOPs, runbooks, monitoring/alerts; your team is autonomous by Month 3
Stack Requirements (pass/fail)
• Active use of ≥3 supported integrations with admin/API access (e.g., Slack; Airtable or Google Sheets; Google Drive/Docs; Salesforce or Attio; Zendesk or Jira; Snowflake or BigQuery)
Not a Fit
• Sales/marketing automations (GTM), monolithic 60‑min runs, brittle scraping without providers, undefined “figure it out” asks, no API access
Timeline & Budget
• Min project $20k, 3–6 weeks. Includes DFY build, SOPs, and training
Proof (selected outcomes)
• Recruiting ops: 10–15 hrs/week saved per recruiter; 3× application throughput; 98% extraction accuracy; <5‑minute SLA per run
• VC ops: DD → CRM + portfolio KPI pipelines; 8–12 hrs/week saved per associate; automated LP update prep with audit trail
• Enterprise ops: cycle time 3 days → 3 hours; error rate 85% → 98%; full handoff by Month 3 (team‑owned)
• Clients include VaynerFund , Liquid IV, Series C software companies and Modern Recruitment firms.
Availability
• I take 1–2 new clients per quarter. If you meet the stack and scope gates above, we can move fast and ship outcomes.
What You Actually Get (Ops DFY + VC DFY + Enablement)
Most consultants build an automation and vanish. I design for scale (short, retryable runs), deliver DFY builds, and level up your team so you own it.
Transformation for Ops at Software Companies
• Capacity: 3–5x throughput on core workflows
• Speed: days → hours with SLA’d, <15‑minute runs
• Ownership: live workshops + SOPs; new hires productive Week 1
Transformation for VC Ops
• Intake → parsing → normalization → system of record
• Portfolio data consistency and automated KPI hygiene
• LP updates generated from trusted sources with auditability
Representative Use Cases (good fit)
• Recruiting Ops: application intake → parse/score → dedupe → ATS update (Greenhouse/Lever) → Slack notify
• Employee Lifecycle: pre‑hire provisioning, onboarding checklists, offboarding access revocation + evidence log (Drive/Docs/Confluence)
• Ticket Triage/Routing: Zendesk/Typeform intake → rules engine → assign (Linear/Jira) → SLA timers → escalations in Slack
• Document/Intake: invoice or form → validate → normalize → write to Sheets/Airtable/Snowflake → Slack approvals + audit trail
• VC DD & Portfolio Ops: Attio/Airtable sync, KPI collection pipelines, LP deck prep in Docs/Slides
Non‑Goals (auto‑decline)
• GTM/sales/marketing workflows; one‑hour monolith runs; undefined scope; legacy/no‑API stack; <$20k POC
How We Ship in 4-6 Weeks
1) Diagnose & Prioritize: define inputs → rules → outputs; quantify ROI; pick the smallest unit of value
2) Build for Reliability: ≤3 systems per flow; idempotency, retries, logs/alerts, dead‑letter/replay
3) Enable & Handoff: workshops, SOPs, credentials and monitoring plan; your team maintains going forward
Success Metrics
• Capacity increase, cycle‑time reduction, error‑rate reduction, adoption/ownership KPIs
Security & Compliance
• Credential management, PII handling and retention agreed up front; audit trails baked into flows
If you need unstuck operations—and want your team to keep the gains—this is for you.