Dayjob

Competitive Intelligence & Product Roadmap

AI scheduling agent for waste-fleet dispatch and route planning.

Company Overview

Dayjob is an AI scheduling agent that turns waste-fleet jobs, GPS, and rules into daily routes. Serving customers across waste management (Coastal Recycling) and waste ERP partnerships (PurGo via VWS Software Solutions).

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

May 18, 2026

Deployment Bottleneck

Confidence:

Medium

New Intel: Dayjob is building onsite depot rollout capacity around planner adoption and fleet data quality. That points to implementation as the margin constraint, and to PurGo-style ERP channels as the fastest path into waste operators.

What They're Building

The company's public product roadmap & what they're committed to building.

Waste-Fleet Scheduling Agent

Dayjob builds daily routes for skip-hire and roll-off fleets from jobs, travel times, container size, shifts, and stacking rules.

Real-Time Replanning

The product reworks routes as new jobs, driver availability, and job updates change during the day.

ERP & GPS Connections

Dayjob connects to existing job management systems and vehicle GPS rather than asking operators to replace their core system.

PurGo Workflow

The VWS partnership ties Dayjob into PurGo, giving waste operators an AI scheduling layer inside an existing ERP workflow.

Founder and Key Execs

George Postlethwaite

CEO and Co-Founder (built Gaea, early Deliveroo employee, launched Deliveroo UK grocery, led sales at Otta)

Fred Fooks

CTO and Co-Founder (built Gaea, Oxford Engineering Science, AI and data science roles at Deloitte and Capgemini)

Joe Walton

Lead Engineer (listed on Dayjob website)

Founder Force Multiplier

George Postlethwaite brings waste-ERP and logistics GTM experience from Gaea, Deliveroo, and Otta. Fred Fooks adds the technical counterpart, with prior ERP buildout and AI/data science work suited to messy depot scheduling.

Funding History

2025 | Sales began in August, according to YC profile language
2026 | Y Combinator Spring 2026/P26 backing
2026 | Dealroom-listed YC seed investment of $125k in March

Notable Open Roles

Customer Success Manager

This role matters because Dayjob’s product value depends on depot adoption, planner trust, and continuous improvement of route quality from real fleet operations.

Competitors

AMCS:

AMCS is a broader waste and recycling software suite, while Dayjob is focused on AI scheduling inside existing operator workflows.

Routeware:

Routeware sells waste-fleet software and routing tools, while Dayjob positions as an agentic scheduling layer for planners.

NextBillion.ai:

NextBillion.ai offers route optimization infrastructure, while Dayjob is a vertical product for waste dispatch teams.

Route4Me:

Route4Me provides general route planning, while Dayjob is shaped around roll-off and skip-hire constraints.

OptimoRoute:

OptimoRoute serves general field-service routing, while Dayjob targets waste-fleet scheduling and ERP-linked replanning.

Dayjob

's Moat:

Workflow switching costs are the clearest path: if Dayjob becomes the daily planning surface inside waste ERPs, planner habits and calibrated depot rules get harder to port.

How They're Leveraging AI

Waste-Fleet Route Optimization

Dayjob uses AI to generate daily routes for waste-hauling, skip-hire, and roll-off fleets. The user is the transport planner, who gets a schedule that accounts for jobs, vehicles, driver shifts, container constraints, and travel time.

Real-Time Dispatch Replanning

Dayjob re-plans routes during the operating day when jobs, drivers, or field conditions change. The AI agent shifts from static route planning into active dispatch support.

Depot-Specific Planning Feedback Loop

Dayjob appears to improve route quality from customer usage, especially planner corrections, fleet performance, and real job outcomes. That makes each depot a training ground for better local scheduling behavior.

AI Use Overview:

Dayjob appears to use constraint optimization for waste-fleet routing, where ERP jobs, GPS, container rules, driver shifts, and planner feedback shape plans.

Commerce, Retail, and Supply Chain AI

Jampack AI

AI agents that automate wholesale order-to-cash for CPG brands.

Every integration Jampack builds compounds into switching costs and a fine-tuning data asset that horizontal agent platforms cannot match without the same vertical focus.

Phia

AI shopping agent comparing fashion prices across retail and resale in real time.

Founder distribution (Phoebe Gates) combined with a performance-based brand revenue model attacks a category where price comparison has never cracked fashion because the cold-start problem killed earlier attempts.

Levelpath

AI-native procurement platform automating intake-to-pay for global enterprises.

The founders already sold Scout RFP to Workday for $540M, giving them direct knowledge of which gaps the incumbent suite left open and the buyer relationships to walk through the door a second time.

CatchBack Cards

Lets creators build mystery packs with cryptographically fair odds and instant physical fulfillment.

Trading card mystery packs are a $5B+ market built on trust that the odds are fair. CatchBack open-sources its card selection code with cryptographic proofs, letting creators build packs that buyers can verify. $13K MRR with 700 users and a Steph Curry collaboration launching.

Back To All Companies >