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Reddit · 100 entries · platform-specific
100 subreddits where the developer-investor's audience already lives.
Reddit's auto-mod removes any post that names a product on the venture-side subs. So this list is engagement-by-comment-only — never main-post pitches. Top-down by ICP fit.
Cadence
Comment-only on the top-tier engage subs. 40-55 words, no em-dashes, no URLs in the first comment. Twice a week, ceiling of four replies.
Platform rule
Never main-post on r/venturecapital / r/AngelInvesting / r/startups — auto-mod will remove the post and shadowban the account. Comment-only, on threads where data answers a real question.
Engagement status · 100 entries
7
Engage
Active engagement layer — we comment, post, or integrate.
35
Watch
Monitoring only — we read the signal, don't post.
0
Hold
Engagement paused. Listed for transparency.
58
Read
Read-only consumption. No engagement layer (or we choose not to).
0
Blocked
Cannot engage — platform constraint, anonymity rule, or policy.
The literal roster
Sorted by attention priority (top of list = most active surface). Engage-tagged entries are where the Tue / Fri cycle lives.
VC-side reality. Comment-only — auto-mod removes any post that names a product.
Comments-only. Hero posts auto-removed.
Angel-side avatar. Developer-investor lives here.
General founder community. We engage on data-question threads.
SaaS founder reality. Pricing, ARR, churn threads convert to dashboard interest.
Senior-engineer take on the orgs we track from outside.
Default tech-news firehose. Slow-engage, high-attention.
Where ML papers and infrastructure orgs first surface.
On-device-AI infrastructure. Engineering-first audience.
Data-platform stack threads. High GitHub-org overlap.
Infrastructure-as-code, observability, platform engineering.
Frontend-leaning practitioner audience.
JS-ecosystem firehose. Library / framework adoption signal.
TS-specific community. Devtool / framework adoption surface.
React community — half of our dataset's frontend orgs land here.
Next.js community. Vercel-orbit orgs surface here first.
Node.js / runtime ecosystem.
Go community. Infra / cloud-native orgs.
Rust community. Systems / wasm / crypto orgs.
Python community. Data / ML / scripting practitioner audience.
Elixir / Phoenix community. Smaller, high-signal.
Generalist founder community. Comment-only on data-driven threads.
Build-in-public threads. Useful avatar reads.
Outside-VC bootstrap-side counterweight.
Public-market overlap with private-side avatar.
Buy-side discipline. Pattern memory.
Personal-finance angel-investor crossover.
Mass-market personal-finance.
Quant-finance crowd. Math-side overlap with our methodology buyers.
Quant practitioner audience.
PE audience. Adjacent buyer-archetype.
Generalist AI conversation.
Mass-AI awareness. Useful for tone calibration.
Claude / MCP user community.
OpenAI ecosystem audience.
Frontier-AI sentiment. Watch for thesis flip.
Beginner-to-intermediate ML audience.
Q&A surface. Useful for canonical answers.
Diffusion-model practitioner audience.
Public-data hub. Cross-references our methodology.
Data-science practitioner audience.
K8s practitioner audience.
Containers community.
AWS-customer audience. Cross-confirms cloud-native bets.
GCP-customer audience.
Azure-customer audience.
Self-host community. On-prem / privacy-first orgs.
Hardware-side hobbyist audience.
Ops-side practitioner audience.
Linux user community. Distro / tooling adoption signal.
Open-source maintainership audience.
Hobby-build to startup pipeline.
Bootstrapper economics — different ladder, same dataset.
Niche SaaS founder audience.
Founder-resources thread surface.
YC-cohort audience. Adjacent to our pattern memory.
Engineer-career-decision audience. Compensation / equity threads.
European engineer-investor avatar concentration.
Freelance-engineer audience. Some angel-investor overlap.
Crypto / Web3 sentiment.
Ethereum-dev community. On-chain orgs.
Solidity-dev audience.
Crypto-infra technical audience.
Fintech-side news + threads.
Security-side practitioner audience. SecOps orgs.
Higher-signal security audience.
Climate-tech founder community. Sector overlap.
Bio + dev overlap. Niche but high-signal.
Hardware-leaning founder audience.
Generalist engineering discussion.
Code-level technical thread surface.
Cultural pulse.
Founder-experience trade.
Crypto-skepticism counterweight.
Hiring-side ops / infrastructure threads.
Buyer-side enterprise IT.
Book/resource recs adjacent to our reading list.
Curation thread that pre-prints our dataset.
GitHub-platform-specific community.
Tooling-level git audience.
Power-user editor crowd.
Modern-editor practitioner audience.
Editor-power-user audience.
Default-editor user audience.
JetBrains-IDE practitioner audience.
Europe-tech-scene audience. Geographic match for our base.
DACH founder audience.
UK tech audience.
India tech-startup ecosystem.
Indian startup audience.
CS-Q&A. Pattern memory only.
Academic-leaning audience.
Process / methodology audience.
PM-side audience. Buyer adjacency.
Tool-stack curiosity audience.
Archive-and-share niche audience.
Stats Q&A. Cross-reference for methodology.
Stats-practitioner audience.
DB-design practitioner audience.
Postgres community. Neon / Supabase orbit.
Redis user community.
How to use this roster
We don’t guard our infiltration plan because it doesn’t scale by secrecy — it scales by repetition. If a developer-investor wants to mirror the same Redditattention map, that’s net positive: the conversation gets denser, the dataset gets cleaner, and the answer to the same question on each platform converges. We’ll still ship the free Acceleration Watch on Mondays.
The Reddit roster is regenerated quarterly. Status flags update weekly when engagement state changes. Companion mixed list at /target-list.