Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Est. Listeners
Insufficient chart data. Estimates will improve as the show charts.
- Per-Episode Audience
Est. listeners per new episode within ~30 days
N/A🎙 Weekly cadence·365 episodes·Last published 5mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
N/A - Active Followers
Loyal subscribers who consistently listen
N/A
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
The Almost Correct System
Jan 25, 2026
40m 46s
Design Local Delivery Service - GoPuff - System Design Interview Series
Jan 24, 2026
31m 03s
Java Memory Model (JMM)
Jan 22, 2026
29m 09s
AWS Lambda Pricing
Jan 19, 2026
23m 23s
Http 123
Oct 4, 2025
1m 58s
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 1/25/26 |  The Almost Correct System✨ | — | — | RexIDE | — | — | — | 40m 46s | |
| 1/24/26 |  Design Local Delivery Service - GoPuff - System Design Interview Series✨ | local deliverysystem design+4 | — | GoPuff | — | service boundariesinventory+4 | — | 31m 03s | |
| 1/22/26 |  Java Memory Model (JMM)✨ | Java Memory ModelHappens-Before+3 | — | RexIDE | — | — | — | 29m 09s | |
| 1/19/26 |  AWS Lambda Pricing✨ | AWSLambda+1 | — | AWS Lambda | — | — | — | 23m 23s | |
| 10/4/25 | Http 123✨ | http | — | — | — | — | — | 1m 58s | |
| 4/12/25 |  🔑 AWS IAM Identity Center and CLI Authentication Guide✨ | AWSIAM+3 | — | AWS IAMAWS SSO+1 | — | — | — | 12m 14s | |
| 3/10/25 |  🌐 Scrapingdog: Web Scraping✨ | Web ScrapingPython | — | Web Scraping with Python | — | — | — | 13m 09s | |
| 3/9/25 |  🧊 BigData - Apache Iceberg and Streaming✨ | BigDataApache Iceberg+1 | — | Apache Iceberg: The Definitive GuideApache Iceberg and Streaming | — | — | — | 29m 06s | |
| 3/6/25 |  📊 RDS PostgreSQL vs Redshift✨ | RDS PostgreSQLRedshift | — | RedshiftRDS PostgreSQL | — | — | — | 14m 15s | |
| 2/25/25 |  📚 DevOps - Terraform Providers✨ | DevOpsTerraform+1 | — | Terraform | — | — | — | 27m 11s | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 7/27/24 |  Tcp udp grpc quic | . | — | ||||||
| 5/31/24 |  Intellij 2023.3 Should you upgrade | . | — | ||||||
| 5/30/24 |  HTMX | . | — | ||||||
| 5/24/24 |  Mysql vs. Postgresql | . | — | ||||||
| 4/29/24 |  RAG Explained for Normal Software Engineers | . | — | ||||||
| 4/26/24 |  Protobuf Best Practices | . | — | ||||||
| 4/25/24 |  Mock the Clock, Not My Tests | How java.util.Clock Saved My Sanity | — | ||||||
| 4/24/24 |  DynamoDB’s RCUs | DynamoDB’s RCUs: Predictable Performance | — | ||||||
| 4/22/24 | Trino versus Apache Spark | . | — | ||||||
| 4/18/24 | When to Choose Delta Lake, ClickHouse, Druid, or Vertica | . | — | ||||||
| 4/17/24 | PagerDuty and OnCall | . | — | ||||||
| 4/13/24 | Scalability Vs. Elasticity | No description provided. | — | ||||||
| 4/8/24 | The Shared Columns that Pop Up in Many Tables | . | — | ||||||
| 4/6/24 | Fault Tolerance Vs. High Availability | . | — | ||||||
| 3/30/24 | Intellij 2024.1 | . | — | ||||||
Showing 25 of 212
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.