r/automationOct 29, 2025
Accidentally killed 90% of a finance team’s manual work with a weekend AI hack 😅
A r/automation discussion (467 comments) that references Make in the course of a broader conversation.
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Reddit Intelligence · Brand report
What Reddit says about Make
A report built from collected public threads showing how buyers evaluate sentiment, product trade-offs, recurring concerns, and switching intent. Modeled metrics are clearly separated from the reviewed public Reddit thread trail.
Illustrative · sources readyDirect Reddit threads
Snapshot summary
mock + sources- Discussions
- 188
- Coverage
- 4 subs
- Classifiable
- 188
- Analyzed
- Jul 25, 2026
Collected Nov 13, 2024 – Jul 22, 2026
Distinct communities
Modeled stance set
Static snapshot, not a live feed
Illustrative data: This illustrative report summarises 188 public Reddit threads collected across 4 subreddits through the Reddit search API. Thread counts, subreddit shares, the weekly trend, and the date range are computed from those threads alone. Sentiment labels are derived from title keywords, not human review. This is a sample of public discussion, not a complete or representative measure of it, and not a customer satisfaction score.
Editorial verdict
The collected signal at a glance
Use the model to understand what a complete brand report should answer. Treat the numbers as content placeholders, not audited findings.
Illustrative verdict
188 public Reddit threads about Make were collected across 4 subreddits, led by r/nocode. The dominant question type is open shortlist requests (16 of 188), and the highest-scoring thread in the sample is "Accidentally killed 90% of a finance team’s manual work with a weekend AI hack 😅". This report summarises those threads only; it is not a measure of Make's overall standing.
Illustrative stance mix: 6% positive · 89% neutral · 5% negative across 188 collected threads, labelled from title keywords rather than by hand.`
Primary decision lens
Where the conversation happens
Most common complaint
Price and plan friction
Best fit
n8n (57), Zapier (24), IFTTT (1) appear alongside Make in these threads, so a realistic shortlist priced against Make usually includes them.
Watch out
The largest negative signal is 10 threads asking for something other than Make, concentrated in r/nocode.
Evaluation lens
Where the conversation happens · Who it gets evaluated against · What buyers are actually asking · How current the signal is
Discussion pattern
How the collected conversation moves
Collected threads bucketed by their own post date, from Nov 13, 2024 to Jul 22, 2026.
Nov 10, 2024Jul 19, 2026
Community distribution
Where the conversation happened
Modeled community shares show how a finished report exposes concentration instead of hiding it behind one total.
CommunityThreadsShare
r/nocode
r/automation
r/n8nforbeginners
r/RoboCorpNetwork
Sentiment distribution
A stance breakdown with visible confidence
The illustrative model keeps mixed and unclassifiable entries outside the 188-entry sentiment denominator.
Positive
6%
11 threads
Neutral
89%
168 threads
Negative
5%
9 threads
Modeled confidence: 11%Excluded: 0 mixed · 0 unclassifiable
Recurring themes
What buyers evaluate — and what concerns them
Each theme is counted from this brand's own collected threads and links back to the ones it is based on.
Decision lenses
14
Where the conversation happens
Make discussion collected here spans 4 subreddits, led by r/nocode (49%), r/automation (47%), r/n8nforbeginners (4%). The most-commented thread in the sample is "Accidentally killed 90% of a finance team’s manual work with a weekend AI hack 😅" (467 comments in r/automation).
Complaint themes
114
Price and plan friction
14 threads raise cost as the sticking point for Make, which is the most frequently cited reason to look elsewhere in this corpus.
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Switching & migration signals
Where evaluation turns into action
Counted by classifying each collected thread's title. These are question types, not verified migrations: a thread asking about alternatives may end in staying put.
10
Threads asking for alternatives
14
Threads about cost or plans
0
Titles mentioning a switch
0
Titles mentioning cancelling
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See exactly which alternatives Reddit users say they are moving to from Make — and how often each one comes up.
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Source trail
Public Reddit threads to inspect
Direct links to the public Reddit posts this report is counted from, each with an original one-line summary. Usernames, post bodies, and comments are not republished.
View thread
r/automationJul 4, 2025
Built This Automation for a Client and Now Make $1K/Month from It
A cost discussion in r/automation (117 comments) covering what Make charges or how its plans are structured.
r/automationNov 9, 2025
Top Alternatives to Zapier That I've found
An alternatives thread in r/automation (43 comments) where Make is the tool being moved away from or compared against.
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Open the remaining direct Reddit posts used to define the research questions for this illustrative report.
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Methodology & limitations
An illustrative report, not an audited Reddit dataset
The model is intentionally rich enough to test information architecture and search demand before paying for full collection.
Fixed window
Nov 13, 2024 through Jul 22, 2026.
Manual coding
Threads are deduplicated, classified by the question they ask, and counted. Sentiment is derived from title keywords, not human review.
Independent QA
No audit is claimed. Replace the model with sampled data when a page proves traffic or conversion potential.
Known limits
Public, English-language, SFW threads only. Deleted, private, and inaccessible discussions are excluded.
Disclosure: This illustrative report summarises 188 public Reddit threads collected across 4 subreddits through the Reddit search API. Thread counts, subreddit shares, the weekly trend, and the date range are computed from those threads alone. Sentiment labels are derived from title keywords, not human review. This is a sample of public discussion, not a complete or representative measure of it, and not a customer satisfaction score.
Reader questions
Make Reddit sample FAQ
The same disclosure and evidence rules apply to every answer below.
No. This page uses a clearly labeled illustrative dataset to demonstrate the questions and trade-offs a complete report can cover.
Thread counts, subreddit shares, the weekly trend, and the date range are computed from the collected threads. Sentiment labels are keyword-derived from titles rather than human-reviewed, and the corpus is a sample of public discussion, not a census of it.
No. Mixed and unclassifiable threads are disclosed separately and excluded from the positive, neutral, and negative denominator.
No. This mock page keeps only direct public thread URLs, titles, subreddits, dates, and original short summaries. It does not store usernames, post bodies, or comments.
No. This pilot is a static snapshot. Any later refresh is manual and traffic-triggered, with a new sample ID and visible analysis date.
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