Software Alternatives & Startups
Register | Login

Obsei VS https://alanaknows.com/

Compare Obsei VS https://alanaknows.com/ and see what are their differences

Obsei

Open source, privacy-first Voice of Customer analytics. A self-hosted alternative to Enterpret and Unwrap that strips PII from feedback before any LLM sees it.

Rating
0 reviews
Pricing
Open source
Promote on VibeVoted
Alternatives Is it good?
https://alanaknows.com/

Alana Knows is a how-to blog for preppers

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Obsei seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
AI popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Obsei
https://alanaknows.com/
Website obsei.com alanaknows.com
Pricing
Open source
—
Company 2020 —
Listed in
Voice Of Customer Customer Feedback Customer Insights Feedback Management Customer Experience Product Management AI Sentiment Analysis +5
—

About Obsei and https://alanaknows.com/

In their own words, as submitted to SaaSHub.

Obsei
https://alanaknows.com/

Obsei is an open source, self-hosted Voice of Customer platform. It reads customer feedback from wherever it lives, removes personal data before any AI model sees it, and shows your team what customers are saying. What it does Collects feedback from the App Store, Google Play, Zendesk, Freshdesk,...

Read more about Obsei

No description of https://alanaknows.com/ yet.

Features and specs

What each product offers, as listed by its team.

Obsei 11 features
https://alanaknows.com/ 5 features
  • PII redaction at ingest
    Emails, phone numbers, card numbers, IBANs and national IDs for 16 countries are removed before any model, sink or agent sees the text. Checksums are validated where the format has one, such as Aadhaar and cards.
  • Self-hosted and air-gapped by default
    Runs on a laptop, a server or Docker inside your network. The database is encrypted, there's no telemetry, and model and sink traffic to outside hosts is blocked until you allow it.
  • Local AI classification
    Labels sentiment, intent and your own custom questions with a model that runs in process, with no API key needed. Ollama, vLLM, OpenAI, Azure, Bedrock and Vertex also work. Low-confidence answers go to a person for review.
  • Multilingual themes
    Groups the same issue across 50+ languages into stable themes, with trend tracking, near-duplicate detection and k-anonymity, which hides groups that are too small.
  • 20+ feedback sources
    App Store, Google Play, Zendesk, Freshdesk, Intercom, Gong, GitHub issues, Hacker News, Bluesky, YouTube, RSS, email, SQL databases, CSV files, webhooks and any REST API or MCP tool.
  • Routing and alerts
    Sends feedback to Slack, Microsoft Teams, Jira, Linear, GitHub issues or signed webhooks, using rules on labels and confidence. Alerts on theme spikes, new themes and pipeline health, plus regular digests.
  • MCP server for AI agents
    Claude Code, Codex, Cursor, GitHub Copilot CLI and Gemini CLI can search feedback and get cited, redacted quotes. Any issue an agent proposes waits for human approval.
  • Privacy controls built in
    Salted author pseudonyms, erasure on request (obsei forget), data export and an audit log. These support GDPR, India's DPDP Act, LGPD and CCPA work.
  • Guided setup, no YAML editing
    obsei init creates a working project with sample data, obsei try <link> previews any app or repo, and obsei add slack sets up sources and sinks interactively.
  • Open Source
    No paid tier, no open-core split and no hosted upsell. Signed container images, an OpenSSF Scorecard and a plugin system for your own connectors.
  • License
    Apache-2.0
  • Domain still registered
    The domain alanaknows.com is still owned and registered, meaning the owner has the option to reactivate or rebuild the site in the future rather than losing the domain entirely.
  • Placeholder prevents dead link errors
    Instead of showing a generic browser error (like a DNS failure), the hosting provider displays a suspended page notice, which can be less confusing to visitors than a broken connection.
  • Potential for future content
    Since the domain is intact, if the account issue is resolved, the original website content could potentially be restored without needing to re-register the domain.
  • Clear indication of status
    The suspended page URL (cgi-sys/suspendedpage.cgi) clearly signals that this is a hosting-related suspension rather than the site being permanently deleted, which can help users or search engines understand the temporary nature of the outage.
  • No malicious content risk
    Because the site is suspended and not actively serving custom content, there is no current risk of the site hosting malware, spam, or other harmful material that active but neglected sites might accumulate.

Possible disadvantages

  • Website is completely inaccessible
    The main URL redirects to a suspended page, meaning visitors cannot access any actual content, information, or services that the site was intended to provide.
  • Unprofessional appearance
    A suspended page gives a poor impression to visitors, potential clients, or collaborators, suggesting neglect, financial issues, or abandonment of the site or associated business/brand.
  • Loss of SEO and traffic value
    Prolonged suspension can hurt search engine rankings and any previously built organic traffic, as search engines may de-index the site or lower its authority due to inaccessibility.
  • Unknown cause of suspension
    The suspension could be due to unpaid hosting bills, terms of service violations, or technical issues, and without more context, users or stakeholders cannot know the severity or how soon it might be resolved.
  • No information available
    Since the site is suspended, there is no way to evaluate the actual content, design, functionality, or purpose of the original website, making it impossible to assess its value or quality.

Analysis

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

Obsei
https://alanaknows.com/

No analysis of Obsei yet.

Overall verdict

  • Alanaknows.com appears to be a personal blog/website, and without direct access to browse and evaluate current content, I can't provide a verified assessment of its quality, but general blog sites like this typically offer value if the content aligns with your interests.

Why this product is good

  • Personal blogs often provide niche, personalized content and unique perspectives from the author
  • Independent sites can cover specific interests in depth compared to larger, more generic websites
  • Blogs of this nature can build community engagement around shared topics

Recommended for

  • Readers interested in the specific niche or topics the site's author covers
  • People seeking personal insights or a unique voice on a subject
  • Individuals who prefer independent blog content over corporate-produced content

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Obsei
https://alanaknows.com/
100% 100%
AI
0% 0%
100% 100%
Customer Experience
0% 0%
100% 100%
Customer Feedback
0% 0%
100% 100%
Sentiment Analysis
0% 0%

Questions & Answers

As answered by people managing Obsei and https://alanaknows.com/.

What makes your product unique?

Obsei's answer

Obsei removes personal data before any AI model sees your customers' words. Emails, phone numbers, card numbers and national IDs are stripped as feedback arrives, authors become pseudonyms, and the database is encrypted. The default classifier runs on your own machine, so you can analyse reviews, tickets and calls without sending them to a SaaS vendor or a public LLM. It is also open source under Apache-2.0, with no paid tier, and it works with AI agents through MCP, so Claude, Cursor or Codex can answer "what are customers saying?" with real, redacted quotes.

Why should a person choose your product over its competitors?

Obsei's answer

Choose Obsei if you can't, or don't want to, send customer text to another company. Enterpret, Unwrap and Chattermill process your feedback on their servers and usually start at several thousand dollars a year. Obsei runs inside your own infrastructure, costs nothing, and lets you bring your own model, from a small local classifier to Ollama, Azure OpenAI or Bedrock. You also aren't locked in: the data stays in an encrypted DuckDB file you own, and every source, sink and model can be swapped.

How would you describe the primary audience of your product?

Obsei's answer

Product, support and CX teams who want to understand customer feedback at scale but work under privacy rules: banks, insurers, healthcare, public services, and companies working under GDPR or India's DPDP Act. It also suits app developers and open source maintainers who want to track App Store, Google Play, GitHub or Hacker News feedback for free, and engineering teams building AI agents that need customer evidence without exposing personal data.

What's the story behind your product?

Obsei's answer

I started Obsei in 2020 as a small open source Python library to read app reviews and tweets with AI models. In 2022 it was a joint runner-up in the Reserve Bank of India's first global hackathon, HARBINGER, and my co-founder Girish Patel and I started a company, Oraika, around it. We had encouraging meetings with banks, but we were engineers with no experience of enterprise sales, and we couldn't close a deal. The project went quiet for almost three years.

In 2026 I came back to it. Customer feedback had become even more sensitive with LLMs everywhere, so I rewrote Obsei from scratch around one rule: understand customers without moving their personal data anywhere it shouldn't go. Version 1.0 shipped in October 2026. I maintain it in my free time, and the long-term plan is to move it to a neutral foundation such as LF AI & Data.

Which are the primary technologies used for building your product?

Obsei's answer

Python 3.11+ with Pydantic for configuration, Typer for the CLI, httpx for connectors and Starlette for the server. DuckDB with its encryption extension for storage. Hugging Face Transformers for the default zero-shot classifier (bge-m3-zeroshot-v2.0), fastembed for multilingual embeddings and GLiNER for optional name redaction. The official MCP Python SDK for the agent server. The Studio UI is plain TypeScript bundled with esbuild, and the docs and website are built with Astro.

User comments

Share your experience with using Obsei and https://alanaknows.com/. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Obsei 1 mention
https://alanaknows.com/ 0 mentions
  • Introducing Obsei
    Allow me to introduce Obsei (pronounced "Ob see" | /əb-'sē/). It is a low-code AI powered automation tool. Name was derived from three words OBServe, AnalyzE, Inform. - Source: dev.to / almost 5 years ago

Tracking https://alanaknows.com/ since Jan 2023.

Alternatives to Obsei and https://alanaknows.com/

When comparing Obsei and https://alanaknows.com/, you can also consider the following products.

Loading...