Automated Trade Approval Systems
The inability to manually pre-approve every trade necessitates the development of automated systems to quickly identify and eliminate bad orders. These systems check every order in milliseconds and kill the bad ones before they execute.
22 people in 26 posts across 3 sources · demand low, pain low, competition moderate
The pain
shares of 26 quoted postsWhat goes wrong, and for whom
- Who
- 22 people, in Billing & Invoicing
- What goes wrong
- Missing feature31% of posts
- Too expensive23% of posts
- Manual work19% of posts
- How bad
- 35% of posts are complaints · pain score low (14/100)
- Since
- 21 Apr 2026 → 03 Sept 2026
The opportunity
from the same postsWhether this pain leaves room for a product
- Demand
- 22 people raised it · demand score low (9/100) · momentum low (32)
- Looking for something else
- 12% want an alternative · 31% ask for a feature · 23% mention price
- What the numbers say
- 31% of posts say exactly what they need — the asks listed below are a ready-made feature list. Not shown by this data: whether they would pay.
The pain — what people say
Their asks, who is writing, and the posts themselves
People are asking for
In their own words — asks pulled from the evidence, most-repeated first
“And this was true even before they started shedding customers for being too expensive.”
“However, as models get larger and training costs soar, it's highly probable that we will hit a ceiling not on model capabilities, but on affordability (it just gets too expensive).”
“I’ve been thinking about how we pay for software, and I’m starting to believe the subscription model isn’t just annoying —it’s becoming structurally broken, especially in the AI era.”
“ Bhai in Hyderabad can't afford Claude tokens.”
What people were doing
Every post behind this page, by what its author was doing — and when each one was written
- Complaint935%
- Looking for an alternative312%
- Request831%
- About price623%
Sources
26 signals · 3 sources
Evidence
Raw public posts behind this opportunity — click through to the original
…amentally replace traditional CRM workflows rather than augment them. The mid-tier productivity tools are arguably more exposed than the enterprise giants.They lack the deep data moats and integration lock-in that companies like Salesforce have built over 20 years, yet they charge on the same per-seat model. [Gartner…
Missing feature…ney back through infrastructure fees. Here's how it works: 1. AI startup needs $1 billion to train models (can't afford it) 2. Amazon "invests" $1 billion for equity stake 3. Startup immediately pays $1 billion back to Amazon for AWS cloud services 4. Amazon gets its money back, keeps the equity forever Cost basis…
Too expensiveMissing feature…out fundamental analysis to chase raw momentum and hype narratives. |Metric|Premium "AI Bottleneck" Hype Stocks|Liquidated Public SaaS Basket| |:-|:-|:-| |Valuation Multiples|Priced for perfection; factoring in a flawless decade of execution.|Compressed down to historical multi-year lows.| |Profitability &…
Strong complaintMissing feature…GPT history to JSON and imported it into a local client in 5 minutes. Switching from ChatGPT to Gemini 3.0 took me 30 seconds. Conclusion I have to end with a question. The people running OpenAI are YC alums and some of the smartest minds in tech. They know how startups work. They know you need to validate problems…
Strong complaintSwitching awayMissing feature…ops to $1/$3 or even lower, and that gross margin vanishes instantly. However, as models get larger and training costs soar, it's highly probable that we will hit a ceiling not on model capabilities, but on affordability (it just gets too expensive). So, expecting model-layer revenues to plug the massive AI Capex gap…
Doesn't workToo expensive
The opportunity — market and score
Products already there, how the score moved, and what it is made of
Opportunity history
Every score change is stored as a snapshot — click a sub-score to overlay it
Why did it move?
Score 30.4 → 32.0 · 23 Sept 2026, 20:00 → 21:15 UTC
How the score was measured40 measured values behind the seven sub-scores · each shows the value, then the points it earned out of 100Show ↓Hide ↑
Questions about this idea
- Is Automated Trade Approval Systems a good startup idea?
- It has an Opportunity Score of 32.0, from 26 mentions by 22 different people across 3 sources. Demand is low (9/100), pain low (14/100) and competition moderate (44/100). This measures what people said, not what they paid for — test willingness to pay before building.
- How many people have this problem?
- 22 different people described it independently, in 26 mentions, the earliest from 21 Apr 2026 and the most recent from 03 Sept 2026. The quotes, with dates and links to the originals, are in the Evidence section.
- How crowded is this market?
- Measured competition is moderate (44/100). Low competition can be a real gap or simply thin data — look for competitors yourself before concluding either.
- Is demand for this growing?
- Current status: declining — mentioned less often than before. Momentum is 32/100, measured as how often it is mentioned recently compared with before.
Adjacent opportunities
Nearest neighbours by embedding similarity
Discussion
Written by readers. Not part of the evidence above and not counted in any score.
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