snowflake
for data scientists, ML engineers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
medium confidence · estimate, not a guarantee7-day
~0
range 0–12
14-day
~0
range 0–14
30-day
~0
range 0–19
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
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Your Dog Can't Tell You Where It Hurts. MATCH_RECOGNIZE in Snowflake Can.
Shows how Snowflake's MATCH_RECOGNIZE can pinpoint pain points in data. · for data engineers
devtoSteady 2 · snowflakedata25d ago - 218
Karibu Give; USSD Micro-Philanthropy for the Next Billion Givers
Shows a USSD micro-philanthropy prototype built with Gemini and Snowflake for mass giving. · for fintech developers
devtoSteadydata3d ago - 318
Copilot Autofix Introduced a Critical CI/CD Bug at Snowflake. Here's How to Harden GitHub Actions
A bug in Copilot Autofix exposed CI/CD pipelines, prompting hardening of GitHub Actions. · for devops engineers, security engineers
devtoSteadysecurity24d ago - 417
We Throw Away 1.3 Billion Tons of Food While Millions Starve. I Built FoodBridge with Snowflake to Stop It
FoodBridge uses Snowflake to reduce food waste by linking surplus to those in need. · for data engineers
devtoSteadydata5d ago - 517
The impersonator's product is the gap between meaning and spelling, so we measured both in Snowflake
Snowflake was used to measure semantic and spelling gaps as a dev challenge. · for data scientists, ML engineers
devtoSteadydata4d ago - 616
AI-Generated GitHub Copilot “Autofix” Allowed Compromise of Snowflake's Jira
Copilot-generated code exposed Snowflake's Jira to compromise. · for devsecops, security engineers
hackernewsSteadysecurity24d ago - 715
Connecting to s3 bucket using snowflake
Shows how to connect Snowflake to an Amazon S3 bucket for data pipelines. · for data engineers, cloud architects
stackoverflowSteadydata20d ago - 88
I wanted Snowflake to do more than store data. So I built a pipeline where it judges World Cup conviction, then writes its verdict back to Solana. The architecture ended up being my favorite part of the project.
Data pipeline architecture · for data engineers
devtoSteadydata57d ago - 98
For the love of the game: a World Cup companion with on-chain betting and Snowflake-ready analytics
World cup companion built · for data engineers
devtoSteadydata60d ago - 107
Snowflake Cortex, Explained Like an AI That Lives Next to Your Data
Snowflake explained with AI · for data engineers
devtoSteadydata52d ago