
Lovable
bolt.new
replit
Bubble.io
Softr
Emergent
Cursor
The platform for people to turn ideas into working products.

Maple.dev
Datadog
Helicone AI
SigNoz
LangChain
LangSmith
NewRelic
LLM observability platform with an open source SDK that traces every AI agent call
Which is more popular?
Based on our record, BASE44 seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | base44.com | ambertrace.dev |
| Pricing | ||
| Company | — | Startup from Usa & Portugal · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of BASE44 yet.
LLM observability platform with an open source SDK that traces every AI agent call, token usage, and failures across OpenAI, Anthropic, and Google. Key capabilities: auto-patches OpenAI, Anthropic, and Google clients with no wrappers or decorators; unified multi-provider dashboard; token usage...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Base44 review: why this might be the ONLY AI tool you need in 2025
More videos
No Ambertrace.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing BASE44 and Ambertrace.dev.
Ambertrace.dev's answer:
Ambertrace is the only LLM observability platform that instruments OpenAI, Anthropic, and Google with genuinely zero code changes: you need to add just two lines of code, no wrappers, no decorators, no middleware. The SDK auto-patches provider clients at initialization, captures every request, response, token count, and latency metric, then sends trace data asynchronously in background threads with approximately 1–2ms overhead. Most competing tools either require framework-specific plugins, manual span creation, or lock you into a single provider ecosystem. Ambertrace works at the provider SDK level, which means it traces everything regardless of whether you use LangChain, LlamaIndex, CrewAI, or custom agent code.
Ambertrace.dev's answer:
Ambertrace.dev's answer:
Three reasons:
First, setup friction: Ambertrace takes under 5 minutes to instrument an entire application. There are no config files, no environment variables to chain together, no framework-specific setup guides to follow. You install the package, call init(), and every LLM call is traced.
Second, no vendor lock-in: AmberTrace normalizes traces across OpenAI, Anthropic, and Google into a single unified format. You can compare cost, latency, and error rates across providers in one dashboard - critical for teams evaluating or switching models.
Third, deployment flexibility: the SDKs are open-source, and you can choose between our managed cloud or self-hosting on your own infrastructure. Competitors typically force you into one or the other. Ambertrace also uses usage-based pricing rather than per-seat pricing, so your entire team gets access without costs scaling linearly with headcount.
Ambertrace.dev's answer:
Ambertrace was born from firsthand frustration. While building AI agents in production, we kept hitting the same wall: an AI agent would return a confidently wrong answer after burning through thousands of tokens, and our logs would show nothing but a series of successful HTTP 200 responses. Traditional APM tools tracked requests and database queries perfectly, but they were completely blind to what mattered in LLM applications - the reasoning chains, the token economics, the silent failures. We looked at existing solutions and found they either required heavy framework-specific integration, locked you into one provider, or were enterprise APM add-ons that cost more than our entire infrastructure. So we built Ambertrace: a lightweight, provider-agnostic observability layer that any developer can add in two lines of code. We open-sourced the SDKs because we believe the instrumentation layer running inside your application should be transparent and trustworthy
Ambertrace.dev's answer:
Share your experience with using BASE44 and Ambertrace.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


I have used Base44 for about a year to build internal tools for a small business. What it does well: describe a business tool in plain English and get a working web app with a database, logins and hosting, no setup....
Shlomi is the founder of DoitWithAI and has sent readers to Base44 as an affiliate since early 2026, which means he reads the pricing page, the changelog and the complaint threads more often than most paying users....
Shlomi is the founder of DoitWithAI and has sent readers to Base44 as an affiliate since early 2026, which means he reads the pricing page, the changelog and the complaint threads more often than most paying users....
We have no reviews of Ambertrace.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


The first category includes tools like Lovable or Base44. These are prompt-driven tools that can generate visually polished interfaces very quickly. They're great for demos that need to look impressive. However, they are usually... - Source: dev.to / 9 months ago
I love how AI is shaking up coding, and vibe coding seems to be the new obsession of -almost- every developer. It lets anyone, even non-coders, build apps by describing ideas in plain English. Tools like Base44, Lovable, and Cursor turn... - Source: dev.to / over 1 year ago
Landing page is excellent, esp the video; gets straight to the point. https://www.youtube.com/watch?v=vFzQF_Ik_-g https://base44.com/. - Source: Hacker News / over 1 year ago
Tracking Ambertrace.dev since Feb 2026.
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