Digital marketing on Reddit, from the inside. Three hardcoded rails decide whether your program survives.

Because everything the top guides teach (AMAs, community engagement, ads, market research) is compatible with one posting account, one person, one session. The moment you run it nightly, the variables that only appear in automation start to dominate: stale threads get archived, subreddits with no-self-promo rules silently filter your comments, the same thread gets double-replied because you forgot you already answered, and Reddit rate-limits you mid-session. The failure modes are infrastructural, not tactical. S4L's three hardcoded safety rails (thread age cutoff at 4,320 hours, two-tier ban list, per-account dedup over 30 days of own comments) map exactly to the three failure modes that kill most Reddit marketing programs in week two.

In /Users/matthewdi/social-autoposter/scripts/reddit_tools.py at line 221, inside the search results filter: `if age_hours > 4320 or post.get("archived"): continue`. 4,320 hours equals exactly 180 days. Threads older than that never reach the drafting layer, never get a draft generated, never get a comment posted. The rationale is that Reddit automatically archives posts after 6 months (no new comments accepted), and threads approaching that cutoff carry increasing risk of hitting archived-mid-draft or attracting downvotes from readers who flag recency-violating replies as spam. Every 'digital marketing on Reddit' guide says to target recent threads; none name a number. The number is 4,320.

Both live inside subreddit_bans in config.json. comment_blocked[] is the list of subreddits where S4L cannot comment at all. thread_blocked[] is the list of subreddits where posting a new thread is blocked but commenting is still allowed. They exist separately because Reddit's permission model is not binary. A large sub might allow comments from any account but only allow thread submissions from approved users. A strict sub might do the opposite (allow threads but filter comments containing links). S4L respects both independently: discovery jobs avoid thread_blocked, engagement jobs avoid comment_blocked, and only the union is treated as 'off limits.' The list is persisted automatically: when a comment returns subreddit_restricted, the sub is appended to comment_blocked and saved to config.json before the run exits.

To prevent double-replying. If the same parent comment accumulates two top-level replies from the same account, Reddit flags the pattern as spam behavior. scan_reddit_replies.py at lines 97-148 defines fetch_own_replies(): it pulls up to 20 pages of the account's own comments across subreddits, windowed to 30 days, and returns a dict keyed by parent_id. During the inbox scan, when a new reply is discovered, the scanner checks whether the parent_id is already in that dict. If yes, the reply is stored with status='replied', our_reply_id set, our_reply_url set, and the draft layer never sees it. This is the single most important rail for any sustained program: without it, a long-running loop will eventually re-engage its own threads and burn the account.

No. S4L captures engagement volume (upvotes, views, comments_count via scrape_reddit_views.py) but does not score sentiment or toxicity. The ranking signal for engagement_styles (critic, storyteller, pattern_recognizer, etc.) is AVG(upvotes) with a minimum of 5 samples, recomputed on every run. Sentiment and toxicity scoring drift over time and introduce a dependency on a third-party classifier. Upvote averages compute in a single SQL query against the local posts table and adapt to the reality of what each content_angle actually gets rewarded for on Reddit.

Before each drafting session, post_reddit.py issues one cheap GET to /r/popular.json?limit=1 and reads the X-Ratelimit-Remaining and X-Ratelimit-Reset response headers. The state is persisted to /tmp/reddit_ratelimit.json so every invocation of every Reddit script in the pipeline shares the same quota view. If remaining is near zero and reset > 180 seconds, the run exits before spawning Claude. The reason this matters for digital marketing use cases: the expensive part of each Reddit run is not the API call, it is the Claude session that drafts the comment. Hitting a mid-session rate limit wastes the draft, burns Claude tokens, and often leaves the draft half-written with no way to resume cleanly. Probing first makes the spend conditional on the quota. Max inline wait for quota recovery is 90 seconds (MAX_INLINE_WAIT_SECONDS in post_reddit.py).

Pattern-wise: large mainstream subs with strict self-promotion rules (r/personalfinance, r/askreddit, most of the r/AskScience network), specialist subs with link whitelists (r/programming, many r/learn* subs), and subs that require a karma floor or account age S4L's account does not meet. The list is entirely empirical. Every entry appeared there because Reddit returned subreddit_restricted on an actual attempt, not because a heuristic predicted it would. That is the whole point of persisting the observed failure rather than guessing in advance: the ban list stays accurate to the specific account that owns it.

Yes and no. Reddit Ads is a separate paid channel (promoted posts, display ads, conversation takeovers) and has nothing to do with organic commenting. The three rails described here apply only to the organic engagement pipeline. For a full digital marketing mix on Reddit, most teams run Ads for reach and volume and organic commenting for credibility and search visibility (since Reddit threads index heavily in Google and AI overviews). The organic program only survives at scale if the rails are in place; the paid program survives as long as the budget does.

Empirically, S4L schedules the engagement pipeline every 30 minutes via launchd, with at most one reply drafted per invocation and independent drafts per Claude session. Daily volume in observed runs sits around 30-50 comments, well below Reddit's programmatic rate limits but also well below the threshold at which account age and karma start to matter for shadow filtering. For a human operator without automation, 3-5 substantive comments per day across different subs, each on a thread fresh enough to have no competing replies yet, reliably outperforms burst strategies. One comment per thread is always the rule, enforced by the per-account dedup rail.

Yes, and you should, even if your Reddit program is entirely human-operated. Keep a spreadsheet of subreddits that removed your comment (treat as comment_blocked) and subreddits that removed your submission but not your comment (treat as thread_blocked). Before replying to any notification, check whether you already replied to that parent in the last month. Do not engage with any thread older than six months. These three habits, formalized in code at reddit_tools.py:221, post_reddit.py:111-136, and scan_reddit_replies.py:97-148, reproduce most of the survivability of automation without the automation.