The 16-quote summary
- Total quotes
- 16
- Reddit · HN
- 0 · 16
- Products covered
- 6 / 10
- Date span
- 2019-03 → 2025-08
Sentiment by bot
Each product's full sentiment split across our captured quotes. Click a product name to read its full review.
What users actually praise — and what they complain about
Substring-frequency analysis across the 16-quote corpus. Not perfect (keyword overlap can mislead), but a useful starting point. Click any theme to filter the quote grid below.
Top user praise
Top user concerns
- Pricing — too expensive 1 mentions
All 16 quotes
Filter by source, sentiment, or product. Sort by upvotes or date. Every quote links to its source.
16 of 16 quotes match the current filters.
"Pretty cool. I've been wondering about DO: https://undervalued.ai/analysis/DOCN how can they keep going with AWS and GCP. Would be cool to pick 10 sample portfolios and keep running them thru this 24/7 with fake money and publish how good it is. Reminds me of https://3commas.io/ for coins."
"I know 3Commas and Cloudflare’s 2017 breach is sort-of this, but curious if a company have ever leaked API keys they create / manage and had to cycle every customer’s keys as a result"
"I paste whole blocks of code into it and ask it to improve it, like make it simpler or reduce duplication. If I have a straight-forward 'thing' I need to do, like, break a file up into chunks of a certain size, I'll ask it to produce that code. So, scenarios where there's a clear-cut task. I recently had to write an SDK in a bunch of languages, I had it convert most of it from one language to another without a huge amount of refactoring/tweaking. I exported all of my trades into CSV format in 3commas, and asked it to generate the Python code to analyse various hypothesis for that data, which I then pasted into a Jupyter notebook. It's incredible how much time it's saving me day to day alread"
"Now just let's wait for Coinbase and let's call it a day then. Was a good ride. Pionex, Bitstamp, Crypto.com, Gemini, ... will not survive this with the others gone."
"I think they benefit by 'crowdsourcing' algo development. all coinrule has to do is follow the most profitable strategy from its customer base."
"We currently test rules manually and post results here: https://help.coinrule.com/en/collections/2700051-template-ru ... and also in our community on telegram. The automated backtesting is coming later this year - correctly capturing for slippage is tough; we will be using historical order book data provided by Kaiko to make this as realistic as possible though"
"I stumbled upon a security issue with your site. I was reading this LP trying to understand what this product does and saw this quote > Military-grade encryption and security Then I checked your site’s CSP policy on Mozilla Observatory: https://observatory.mozilla.org/analyze/coinrule.com coinrule.com scored 0/100 (F), because your site does not have the Content Security header implemented. I’d expect a software product focusing on security to have a strong CSP."
"You can create your own 'bundles' of coins and rebalance them using Coinrule. Some of our template strategies have been backtested (see here for a few of them: https://help.coinrule.com/en/collections/2700051-template-ru... ). That said, we are also going to add other asset classes in the future and this will allow users to get in and out of ETFs easily."
"Alpaca itself looks legit - however they use third-party providers to source liquidity for your crypto trades, and I don't see it disclosed who those providers are - so that's who I would be worried about. Not only that but the trades are very opaque; I don't see an order book endpoint. You're probably better off just connecting directly to Coinbase or Gemini APIs, or interfacing with Uniswap directly. You can also take a look at hummingbot, they provide some nice abstractions."
"I've done a bit of algo trading, but not HFT (those low latency links are costly). Here are some links I've collected along the way: https://github.com/StateOfTheArt-quant/awesome-high-frequenc... https://github.com/AlexWan/OsEngine https://github.com/hummingbot/hummingbot https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Tr... https://github.com/Crypto-toolbox/HFT-Orderbook https://github.com/Manudecara/Algo-Trading I also had some fun with the challenges on Quantopian, but that shutdown a couple of years ago ( https://en.wikipedia.org/wiki/Quantopian )."
"Note that you don't need partnerships with exchanges to do this. You just need API documentation. You're just providing software and possibly running (that is, arranging to run said software on some cloud service) software for people. Also, you might want to look at hummingbot.io . One of their models is aggregating market-makers. Exchanges and some coin promoters pay rebates to large market-makers. If you use hummingbot to do market-making, they'll include you in their pool (which consists of lots of small market-makers that the exchanges and promoters won't deal with individually) and give you a proportional share of the rebates that the pool earns. Yes, that aggregation does involve deali"
"This is exactly how we hired most of our devs at Hummingbot. We used to hire expensive Silicon Valley engineers before realizing that the folks we found on Upwork were just as good , if not better."
"Finally, a way for me to lose all of my money automatically . What an exciting time to be alive! More seriously, for anyone else who was curious below is a list of the existing integrations. https://nautilustrader.io/docs/latest/integrations/"
"Binance boss just came out of prison, so he is not above the law. And yes, they likely have this problem, because crypto is less regulated and full of geeks, so they have way more automation compared to traditional finance, at least proportionally to its size. You have bots on top of bots (literally, like telegram bots that will send orders to other bots copy-trading other bots). In fact, there is even an old altcoin dedicated to automation: kryll ( https://www.kryll.io/ ). They have a full no-code UI to create a trading bot with complex strategies that is pretty well done, from a purely technical perspective. They plug into many exchanges, including Binance. Also, because it's less regulate"
"I never use stable coins for payment, and I don't know anybody who does despite being in crypto since btc was at $8. I do pay stuff in BTc and get paid in BTC once in a while and see people in my bubble do the same. We use stable coins to limit taxe exposure, mainly. It's true eth has never been a mean of exchange for any of us and more a platform for smart contract (my friends at kryll.io use it for that)."
"Looks a lot like kryll.io. The concept is the same, the UI seems very similar. I understand that it's a YC project, so it does already have a good chance to work just from the networking effect. But other than that, how do you differenciate from kryll, since frankly, they are already pretty good at what they do (the shared strategies, backtracking and over all the community is very nice) ?"
No quotes match the current filters.
How we built this archive
01 How did you collect these quotes?
A Python script (research/scripts/parse_user_reviews.py) hits public no-auth endpoints — Reddit's .json endpoints and the Hacker News Algolia search API — for each ranked product. For each match it records the comment text, upvotes, subreddit, author handle, date, and permalink, then writes one JSON file per product to /research/user-reviews/. We re-run the script periodically; this page rebuilds from whatever's on disk.
02 Are these quotes verified as authentic?
Every quote links back to its original Reddit thread or Hacker News comment, where you can verify the wording, the upvote count, and the author handle. We do not edit quotes other than trimming length (max 600 chars) and we never fabricate. If a quote was deleted on the source side after we captured it, the link will 404 but the quote itself remains as we recorded it.
03 What was filtered out?
Three filters: (1) comments shorter than 90 characters (unsubstantive); (2) comments whose first word is a URL ("https://3commas.io/..." style drop-ins); (3) comments starting with "video:" (these are YouTube link references our parser captures but they aren't user opinions). We also drop deleted/[removed] comments and comments with score below 2 on Reddit.
04 How is sentiment classified?
A simple keyword heuristic — counts of positive-leaning words ("great", "love", "recommend", "easy", etc.) vs negative-leaning words ("scam", "avoid", "broken", "lost money", etc.). We disclose this honestly because it has false positives — a comment like "the support team was great" near "this product is a scam" would score mixed even though it's clearly negative. For high-stakes assessments, click through to the source.
05 Why no Trustpilot, G2, or Product Hunt quotes?
Trustpilot serves a Cloudflare anti-bot challenge to our crawler. G2 uses Cloudflare + Captcha. Product Hunt requires OAuth for review access. We honor those gates rather than working around them. Reddit and Hacker News are open APIs — we use what's free, public, and ToS-compliant.
06 Why no X (Twitter) quotes?
Twitter shut down its free read API in 2023. Scraping X requires paid services like Apify (~$5/run). We've documented this gap honestly rather than including stale or low-confidence pulls.