
An evaluation score improves even though the model has not changed. Daniel and Maya design a platform that can trace the difference to data, graders, configuration, infrastructure, or actual model behavior. Frozen...


Learn system design wherever you are. Each episode builds from first principles to the decisions engineers face in interviews and real systems, using concrete examples, trade-offs, recall checks, and one-minute explanation exercises. Season 1 covers networking, APIs, data modeling, indexes, caching, sharding, consistent hashing, consistency, and architectural estimates in 16 episodes. AI narration using Liam at a relaxed pace.
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Contact path
Public web form
Booking probability
36%
Guest openness
Selective
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Signup to Generate a PitchLearn system design wherever you are. Each episode builds from first principles to the decisions engineers face in interviews and real systems, using concrete examples, trade-offs, recall checks, and one-minute explanation exercises. Season 1 covers networking, APIs, data modeling, indexes, caching, sharding, consistent hashing, consistency, and architectural estimates in 16 episodes. AI narration using Liam at a relaxed pace.
Recent episodes include "S2 E26, Design an AI Evaluation Platform: Reproducibility, Grading, and Release Gates" (22 October 2026, 35 minutes), "S2 E25, Design an AI Research Assistant: Sources, Budgets, and Checkpoints" (22 October 2026, 34 minutes), and "S2 E24, Design Enterprise RAG: Retrieval, Permissions, and Citations" (22 October 2026, 34 minutes).
System Design on the Road publishes roughly daily, with episodes averaging 34 minutes across 42 episodes.
Booking probability for System Design on the Road is 36%, and the host is rated Selective on guests. System Design on the Road requires a Pod Score of 80 or higher. System Design on the Road's contact route on record: public web form.
The strongest fits for System Design on the Road are IT Services & Software Development. System Design on the Road has a technology audience.
System Design on the Road is a technology podcast with 42 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

An evaluation score improves even though the model has not changed. Daniel and Maya design a platform that can trace the difference to data, graders, configuration, infrastructure, or actual model behavior. Frozen...

Three sources tell two different stories and the research deadline is approaching. Daniel and Maya design an assistant that can choose what to investigate, preserve its evidence, and stop within time and spending...

An employee may read a document when it is retrieved, but loses access before the generated answer is released. Daniel and Maya design enterprise RAG around that permission race rather than relevance alone. Document...

A repository's test script runs hostile code inside a cloud development workspace. Daniel and Maya design isolation while preserving useful files and developer progress. Sandboxing, network access, secrets, and...

A browser agent clicks Submit and disconnects before seeing the result. Daniel and Maya design recovery that preserves the uncertainty instead of automatically repeating a potentially consequential action. Goals...

A teammate changes a prompt while an experiment is running, and later nobody knows which instructions produced the answer. Daniel and Maya design a collaborative playground that allows editable drafts without losing...

The model files have downloaded, but the worker is not ready to serve. Daniel and Maya design distribution as a sequence of transfer, verification, staging, loading, and traffic activation. Immutable manifests and...

A short question waits behind a prompt containing an entire book. Daniel and Maya design a shared inference service that uses GPUs efficiently while protecting latency and tenant fairness. Batch formation, request...

A video-generation job is preempted, canceled, and then completed by an obsolete worker. Daniel and Maya design the lifecycle that keeps this late result from becoming the customer's published output. Durable jobs, GPU...

An AI answer is still being generated when its browser connection breaks. Daniel and Maya design a chat service that resumes the existing answer rather than silently starting and charging for another generation...

One collaborator deletes a paragraph while another edits it offline. Daniel and Maya compare approaches to shared editing before developing local operations, durable acceptance, reconnect history, and snapshots...

A crawler has ten million queued URLs, but many point to one small website. Daniel and Maya design a frontier whose scheduling rules limit pressure on remote origins instead of letting queue size drive request volume...

Yesterday's click count changes and an advertiser disputes the result. Daniel and Maya design an analytics pipeline that can explain which events were counted, which day they belong to, and which rules were used. Late...

A provider charges a customer, but the payment service crashes before saving the answer. Daniel and Maya design recovery around durable payment identities and uncertain outcomes rather than treating a timeout as a...

A worker loses its lease, its replacement starts, and both eventually finish the same export. Daniel and Maya design a scheduler that distinguishes a job, a scheduled run, and an execution attempt. The flow follows...

The delivery system records one logical notification, but the customer receives two emails. Daniel and Maya trace durable intent through scheduling, workers, provider calls, acknowledgments, and retries to find the...

A customer sends requests through three regions and stays below each local limit while exceeding the intended total. Daniel and Maya define the quota contract before choosing token buckets or counters. They build a...

Two riders are offered the same nearby driver. Daniel and Maya design the path from location updates and geographic candidate search to an assignment that one authority can confirm. A driver's latest reported position...

Two laptops edit the same file offline and reconnect after a flight. Daniel and Maya design synchronization that recognizes both versions rather than silently choosing the later timestamp. Stable file identities...

A worker dies near the end of processing a large video. Daniel and Maya build a video platform that can retry useful work without publishing an incomplete playback result. The flow connects resumable uploads, object...
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