Priya Raghavan
Software Engineer in Test
At EveryInfra Priya runs replay testing: real traffic is recorded and replayed again and again to find billing discrepancies.
Education
- IIT Madras, B.Tech. Computer Science (2010–2014)
- Carnegie Mellon University, M.S. Software Engineering (2014–2015)
Previous roles
- Bloomberg (New York) — Software Engineer → Senior SDET, market data platform (2015–2021)
- Two Sigma (New York) — SDET, trading data quality (2021–2024)
Articles by Priya Raghavan
- Bright Data Pricing Explained: What 1,000 Results Really Cost in Three Live Tests
Bright Data pricing by product, tier and billing unit, with three live tests: Amazon, TikTok and Google, priced per 1,000 results. Plus 4 alternatives.
- Apify YouTube Scraper Alternative: Measured Price per 1,000 Rows
1,000 YouTube comments cost $0.90–$2.00 on Apify's public price list. We measured $0.0056. Search is 200x cheaper, but single-video lookups are not.
- claude code scheduled tasks: a nightly Reddit pain-point digest
A Claude Code cloud scheduled task (formerly routines) reads Reddit through remote MCP each night. Real calls, limits, setup, and a $0.125 API bill.
- Exa Finds the Competitors, EveryInfra Checks Their Reviews: 30 Companies Tested
On October 25, 2026, we used Exa to list 30 companies in 3 categories by meaning, then used EveryInfra to look up each one's G2 rating and Trustpilot profile. 18 had a rating on at least one site, both searches returned the same lists, and the 60 lookups cost $0.058.
- Multiplatform Reputation Monitoring Blueprint: Define Scope Before Evaluating Negative Shifts
Design a traceable reputation monitoring workflow starting with target lists, comment identities, and incremental cursors; use offline samples to demonstrate deduplication and ingestion gaps while preserving manual review.