Alternatives

Products that do what InVariants (Beta) does

Explore your data's shape with TDA, ML & AI — no code

1HO
HelixDB – Open-source vector-graph database for AI applications (Rust)▲237
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com
2
Loops▲614
Product analytics that surface your biggest causal insights
2024
3L3
Llama 3.2 Interpretability with Sparse Autoencoders▲579
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
2024 · github.com
4
NoCodeAPI 3.0▲420
The easiest way to connect with APIs without code
2021
5
Dokin▲579
The Canva of data analytics
2024
6
NoCode Tube▲293
Learn to unlock NoCode superpowers, minus the research hours
2023
7
Deep Talk▲104
No-Code AI/NLP platform for text data analysis 🧠
2022
8
AI-Native Airtable▲333
Vibe code with the relaunched AI-native app platform.
2025
9
Promptly▲304
No-code platform for generative AI apps & chatbots
2023
10HA
HelixDB – A graph database built on object storage▲159
Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com
11
AI & Analytics Engine▲281
Build AI models and get predictions, no code required
2023
12
No Code Map App▲140
An AI-enhanced map builder for any industry
2025
13
DataSquirrel.ai▲305
Data analytics and BI for non-tech managers
2024
14
Latenode▲87
Low-Code Integration Platform [no-code, full-code, AI]
2024
15
Neuton.AI▲271
No-code artificial intelligence for all
2021
16
VectorShift▲140
No-code LLM application builder
2023
17
WorkbenchAI▲153
Zero code Machine Learning in minutes
2018
18TS
Truss – Serve any ML model without boilerplate code▲68
2022 · github.com
19
Axel▲271
Todoist for AI coding agents
Feb 2026 · axel.build
20
DeepLobe▲94
Your no-code machine learning platform
2021
21
Baserow 2.0▲180
Build databases, automations, apps & agents with AI, no code
Nov 2025
22
Ludwig▲167
Uber's code-free deep learning toolbox
2019
23
Salesfit 2.0▲112
No-code toolkit for data-driven marketing
2021
24
Datrics▲135
Create a better credit-risk model in days without coding
2021

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