[HN Gopher] Show HN: I built a chatbot to converse with 3M SaaS ...
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Show HN: I built a chatbot to converse with 3M SaaS product reviews
Hey HN, I'm Andrei, and together with my co-founder Roman have
been working on a tool called Reviewradar. Working with startups,
doing interviews and sifting through endless software reviews are
daunting tasks. So, we built a chatbot that lets you chat with over
3 million reviews from more than 100K SaaS products. With
Reviewradar, you can ask questions like: - create a comprehensive
SWOT analysis for both Notion and Obsidian - give me negative
feedback and complaints you have about Postmark - summarise the
reviews you have on products in the OCR category I would love to
get your feedback on it. Check it out here: https://reviewradar.ai
Looking forward to your thoughts / suggestions, Andrei and Roman
Author : andreict
Score : 77 points
Date : 2024-09-22 13:04 UTC (9 hours ago)
(HTM) web link (reviewradar.ai)
(TXT) w3m dump (reviewradar.ai)
| fkilaiwi wrote:
| neat! what is your data source?
| marmaduke wrote:
| Very cool. Can you describe any fine tuning or RAG you did? Did
| you have to go through a bootstrapping process?
|
| Totally get it if you don't want to share details.
| bschmidt1 wrote:
| This one seems like a blatant GPT wrapper. Why not just use 4o?
|
| For example, "Ask any question" the use case shown is:
|
| > "What specific python scripts are users running inside
| HubSpot?"
|
| I could just ask ChatGPT that too, why would I need this product
| to answer the question?
|
| Seems like everyone is just wrapping ChatGPT, creating even the
| identical UI down to the icon on the send button, and then making
| a Loom showcasing essentially white-labeled OpenAI functionality.
| ramon156 wrote:
| For future devs, what makes a product stand out (for devs) is
| how you built it. What's the data source? Did you fine-tune
| your data? Do you have people who already use it? Where does it
| shine? (no, a prompt isn't good enough).
|
| Also, I don't care about Hubspot reviews when I know the
| product. Reviews are there for unknown software that are less
| popular, but even then why are you considering using some half-
| maintained solution for your enterprise?
| fakedang wrote:
| Well this product is completely useless if it's trained on G2 and
| Capterra reviews.
| ta988 wrote:
| Why is that are they mostly fake? Or paid for?
| nhggfu wrote:
| their biz is affiliate marketing. so yea, paid for,
| effectively.
| jv22222 wrote:
| Congrats on the good work! Do as https://x.com/levelsio does,
| keep iterating, and make it better over time.
| CuriouslyC wrote:
| Your landing page is doing the heavy lifting here. Nice design.
|
| You should do side by side comparisons of output from
| GPT4o/Claude and your product to sell me on why I should care
| about the RAG you added and your tuned prompts.
|
| If you're giving away inference you should probably tell people
| how you're intending to make money from them. Free services that
| use expensive APIs are a big red flag for me.
| tcdent wrote:
| Cool idea, but fails one well known fact:
|
| Customers don't know what they want.
| inSenCite wrote:
| This statement is a russian doll as in it potentially includes
| the customers using this product ;)
| falcor84 wrote:
| That's somewhat true, but trite, and shouldn't imply that you
| shouldn't listen to customers. It's up to you as a product
| manager to analyze and synthesize people's feedback and
| thoughts, integrating it with your other knowledge and
| constraints, in order to arrive at (as much as possible) well-
| founded product plans.
|
| If it works well, I think this tool could really help
| accelerate the process, especially if you can get it to give
| you its sources, like Perplexity does.
| dc_rog wrote:
| Maybe not, but they'll tell you what they don't like about an
| incumbent and that's sometimes all you need to enter a market.
| louthy wrote:
| This is why you listen to their problems and not their
| solutions
| TekMol wrote:
| Me:
|
| What do users think about Reviewradar?
|
| Reviewradar:
|
| User feedback on ReviewRadar varies, with many appreciating its
| functionality while some indicate areas that could use
| improvement. Here's a detailed breakdown of sentiments based on
| user reviews:
|
| Positive Aspects:
|
| User Experience: Many users noted that the interface is intuitive
| and easy to navigate. One user expressed that ReviewRadar is "the
| best source of software reviews," highlighting the visibility and
| transparency it provides.
|
| Comprehensive Review Collection: Users value the centralized
| nature of reviews, stating it allows for easy tracking and
| management of their online reputation. One respondent emphasized,
| "I can point possible customers to ReviewRadar, and they know
| that I haven't falsified any reviews".
|
| Support and Updates: Some users appreciated the support team,
| remarking that they were responsive and helpful during the
| onboarding process. There's a notable emphasis on the quick
| resolution time for any issues.
|
| Critical Feedback:
|
| Integration Limitations: A recurring theme in feedback pertains
| to a need for better integration with other applications. For
| instance, users have mentioned, "It would be great to see Google
| My Business integration" as a valuable addition.
|
| Clarity in Reviews: While many find the review process thorough,
| some users have pointed out that there were instances of what
| they perceived as biased or unreliable reviews. This is
| particularly concerning in a landscape where fake reviews can
| distort genuine customer experiences.
|
| Feature Requests: Certain users expressed the desire for more
| customization options in dashboards and reporting features,
| indicating that the current setup could be streamlined to improve
| usability.
|
| General Sentiment:
|
| The overall impression of ReviewRadar is largely positive, with a
| community of users who find it helpful in gathering insights and
| managing their online reviews. However, users desire enhancements
| in integrations and feature sets to maximize its potential.
|
| Conclusion:
|
| In summary, if you're contemplating using ReviewRadar, the
| platform seems to be effective for managing software reviews and
| tracking customer feedback. Yet, be aware of the requests for
| improvements in integration and functionality from existing
| users.
|
| If you have any specific features or areas in mind that you'd
| like to explore further, let me know!
| yawnxyz wrote:
| Wow incredible, could you give a small glimpse in how you
| collected/normalized/vectorized all the different reviews +
| information? Just lots of scraping + chucking it into Pinecone
| etc?
|
| > Me: Give a list of the new and old gene sequencing tools
|
| > Reply: Based on the available reviews, I've compiled lists of
| new and old sequencing products mentioned by users: Genemod,
| Mixmax (email sequencing...?), HubSpot Sales Hub (????)
|
| Are you guys using a pure RAG for your responses? I think you
| should have a function caller traverse a tree of topics before
| retrieving data from the right area/space or you'll have lots of
| "contamination" of similar phrases across fields
| amelius wrote:
| Upon reading the title, my brain took a garden path in the
| direction of the 3M company.
| Always42 wrote:
| Same, then it went to "to help with employee interviews"
| itake wrote:
| yeah, shouldn't it be 3m? not 3M?
| abraxas wrote:
| Or rather 3MM?
| remram wrote:
| The obvious spelling would be "3 million", why replace
| obscure abbreviations with more of the same?
| nextworddev wrote:
| I have some MBA friends who wanted to do a "AI powered G2 or
| Gartner" startup. Which makes me feel like this is a tarpit idea
| thisisit wrote:
| I believe it is a good idea, especially because there is a huge
| CYA industry out there and Gartner owns a huge chunk of it. But
| very difficult to implement correctly.
|
| For example this one has a serious issue. It doesn't consider
| that things might have changed. So, a review might be
| complaining about a missing feature in a particular product but
| now fully implemented.
|
| I asked it for a side by side comparison for two enterprise
| products. It told me that a particular feature was missing from
| the product. I googled and found the referenced review from Jun
| 2022. The feature in question was implemented in 2023. My first
| experience with exploring Gartner is going to be next week so I
| am curious how they handle such issues.
| superasn wrote:
| Here is some feedback. Your landing page needs samples. After
| spending 30s I do have some idea about what you're trying to do
| but some real life samples of input and output will show me
| exactly what to expect and how good the quality is and eventually
| if it's worth my time to sign up for it.
| abraxas wrote:
| Good stuff, it gave me a very fair review of the SaaS I tested it
| on and suggested good alternatives. This is useful.
| piterrro wrote:
| Would you mind sharing a source of the reviews? How your users
| would know whether your product could be trusted?
| rsp1984 wrote:
| Just a nitpick: please use lowercase 'm' for 'million'. When I
| read the title I thought it had something to do with the company
| 3M (not really known for making SaaS).
| Diti wrote:
| The SI unit for million is M, so that should be 3 M (with a
| space). 3 m would mean 3 minutes.
| osrec wrote:
| It could also mean 3 meters. Context is everything. The
| lowercase m would be more widely understood in this context.
| remram wrote:
| M is the SI _prefix_ for million (not a unit).
|
| m is the SI unit symbol for meter. Minute is not a SI unit,
| as the SI unit of time is the second.
| Diti wrote:
| Woah, I feel dumb. Thanks for correcting me! I can't edit
| my message.
| kshmir wrote:
| What is this trained on? It doesn't seem to look on the web for
| my product at all... doesn't quite the reviews...
|
| Are you just using an LLM? I asked to write code, and it did...
| hoomank3 wrote:
| Looks like a useful product. Does it support Facebook and Google
| My Business reviews?
| thih9 wrote:
| How is it different from asking chatgpt (or other popular LLM)?
| code51 wrote:
| Landing page yes but is it actually working with production
| performance? I have strong doubts after executing your own demo
| query of "Summarize the reviews you have on products in the OCR
| category." in the system.
|
| If the idea is just demo and collecting leads, then you could
| have cached at least your demo queries.
|
| Everybody's too landing-page focused these days.
| altdataseller wrote:
| The problem is I don't trust all those SaaS reviews in sites like
| G2, TrustRadius, Gartner etc. A lot of them are paid, and
| incentivized. Heck, I personally wrote a few nonsense ones just
| to get free gift cards. But I know some people give our free
| credits or discounts if you write a review for them.
|
| Even a lot of "free" reviews on Reddit are secretly posted by the
| company, or someone who got paid by the company.
|
| [UPDATE] Just tried the tool. 7 of the 8 bullet points your tool
| gave me was also given to me by Claude. I think both are using
| similar data sources, so I fail to see what differentiates this
| tool
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