AI
AI Analysis
Live Data

Grok Code Dominates Kilo Code with 5× Usage Lead — #1

Grok Code has nearly 5× more trillion-token-scale usage on Kilo Code than the next model and has remained #1 since rising. Tweet sentiment: neutral overall.

Community Sentiment Analysis

Real-time analysis of public opinion and engagement

Sentiment Distribution

0% Engaged
Positive
0%
Negative
0%
Neutral
100%

Critical Perspectives

Community concerns and opposing viewpoints

1

Paste the tweet replies or a thread URL so I can read them

Provide full reply text or a link to the thread.

2

Tell me any filters to apply (language, date range, include retweets/quote tweets, sample size). Suggested default

last 50 replies, English.

3

Say what to emphasize

worries (safety, costs), praise, policy agreement, questions, jokes, misinformation, calls to action, or other themes. Pick up to three focus areas.

4

Indicate privacy preferences

redact usernames/PII or keep them visible. Example: replace handles with @user or remove names.

5

Specify length and tone

number of numbered points (e.g., 4–

6

and whether to keep it brisk or more explanatory. Default

4–6 concise, blog-style points with key phrases highlighted.

Supporting Voices

Community members who agree with this perspective

1

Paste the original tweet and the replies you want covered — include up to a few dozen replies or the ones you find most relevant

Paste the original tweet and the replies you want covered — include up to a few dozen replies or the ones you find most relevant.

2

Choose a length and tone

brief (2–3 sentences), medium (4–6 sentences), or long (one short paragraph per theme); tone can be neutral, critical, supportive, or conversational.

3

Tell me what to emphasize — e

g. , safety concerns, policy reactions, praise, technical points, or calls for action.

4

Privacy note

remove or anonymize any personal data you don’t want published (handles, phone numbers, etc.) before pasting.