Akshay Shinde (@ConsciousRide) on X (Twitter)
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Akshay Shinde is a creator on X (Twitter) in the 4K–5K follower range, publishing for Software engineers and AI/ML practitioners building production systems. Profile last checked 2026-07-03.
Observed facts (from the public profile):
| Field | Value |
|---|---|
| Platform | X (Twitter) |
| Handle | @ConsciousRide |
| Followers | 4K–5K |
| Indexed under | Software · Developer tools / infra |
| Audience function | developers |
Profile bio
Engineer. Explorer. Into tech, AI/ML, space, fitness, sports, philosophy, nature, awareness - basically everything. Sharing raw thoughts & building in public.
What this creator posts about, and who reads it (AI-inferred)
Recurring topics: AI system evaluation and production debugging, Serverless backend architecture, Code review best practices, Building in public as an engineer
Audience: Software engineers and AI/ML practitioners building production systems
Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 3 recent posts · updated 76 days ago.
Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.
Recent content samples (what the inference above was drawn from)
Don't just learn AI. Learn how to evaluate AI systems. Evals, observability, guardrails, and production debugging are what make AI systems reliable enough for enterprise customers.
What’s the best way to make a backend truly ‘serverless’ without vendor lock-in nightmares?
25 things that make code reviews effective: 1) Review for correctness first. 2) Keep PRs small. 3) Review promptly. 4) Explain the reasoning behind comments. 5) Focus on maintainability. 6) Question unnecessary…
See the original post on X (Twitter)
Where this creator sits among comparable accounts
Compared with the 3,045 accounts in the same group (x · nano · software):
| Dimension | Percentile in group |
|---|---|
| Overall | 97th |
| Authenticity | 89th |
| Focus & activity | 66th |
This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.
Koinon Link indexes X (Twitter) creators in Software with grade, authenticity and contactability broken down — see the X (Twitter) × Software breakdown, or the Creator Index Report for the whole index.
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Creators next to this one by follower tier in the same slice. Each link opens that creator’s public profile — what they post about and who reads it, with no contact details.
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Machine-readable representations
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AI retrieval activity
What AI systems have actually done with this page. The two kinds are counted separately: being indexed is not the same as being used.
| Kind | Requests | What it means |
|---|---|---|
| Indexing crawlers | 8 | Bulk indexing · Amazonbot, Applebot, ClaudeBot, Meta, PerplexityBot |
| User-triggered retrievals | 0 | none recorded yet |
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