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Tiny Funnel

Google Analytics can be a little overwhelming.

Tiny Funnel shows you exactly where visitors came from, where they went, and how many ultimately converted. Simple.

The cookie-less analytics tool lets you build funnels around page visits, clicks, page states, or server-side events, then see drop-offs and individual visitor journeys in one view.

There’s no event code required for basic tracking.

New AI Tools from Google

Google is adding a new layer of AI and agentic capabilities to Google Ads and Google Analytics.

There are now AI-powered summaries on platform homepages that surface important performance shifts and trends, giving you a quicker read on what deserves attention.

There’s also a new way to build visual reports using simple prompts. You can ask Google’s AI to create visualizations and explain the “why” behind their performance.

Plus, Google is also introducing benchmarking capabilities, allowing businesses to compare their results with similar companies and identify areas where they may be underperforming or missing opportunities.

OpenSEO

Here’s an open-source SEO platform that brings keyword research, competitor analysis, backlink checking, rank tracking and site audits into one workspace.

It also adds AI-search visibility tools, letting you see brand mentions and citations across AI search experiences.

OpenSEO starts at $10 per month, with usage credits included.

Paritok

Paritok is a compression gateway for AI coding agents that reduces the amount of context they need to send with each request.

It filters and compresses tool schemas, file reads, outputs, and older conversation history before passing them to the model. The integration is lightweight—you can add it between your agent and the model with a single environment variable.

What makes it interesting is that the compression is non-destructive. When an agent needs the original content, it can request the exact bytes without spending another model turn, helping longer coding sessions use less context and lower input-token costs.

Portfolio Lab

Portfolio Lab uses AI to build and validate systematic investment strategies based on different goals, from long-term growth to limiting drawdowns.

You can create a strategy from scratch or start with an expert-built one, then test it using live market data and paper trading before deploying it. The platform can generate multiple strategies from one build, each optimized for a different objective such as return, Sharpe ratio, or lower drawdown.

Once you’ve found one you like, an AI agent can mirror the strategy in your own brokerage account, while Portfolio Lab keeps track of what the strategy holds and why it changes.

Oqoqo

Oqoqo helps teams test how well AI agents can actually use their products, tools, and workflows.

You create realistic tasks and rubrics, then run them across different agents, models, or product versions in isolated environments. Oqoqo captures the full trajectory of each run, so you can see what worked, where the agent got stuck, and how many tokens or tool calls it took.

The useful part is being able to turn those experiments into private benchmarks and rerun them after changes, making it easier to spot when an update improves—or breaks—an agent workflow.

Nitro Translate

Nitro Translate is a translation API that lets developers add AI-powered translation to their apps without authentication or an API key. It supports multiple languages and can translate text through a simple API request, making it easy to build translation features without setting up a full translation infrastructure.

It’s especially useful for quick prototypes, lightweight projects, and applications that need straightforward translation without the overhead of managing API credentials.

AdAnt AI

AdAnt AI helps marketers analyze, monitor, and optimize digital ads across platforms using AI. Instead of manually reviewing dozens of creatives, it automatically identifies patterns in messaging, visuals, CTAs, and performance to surface actionable insights.

It can also track competitors’ ads, organize creative libraries, and highlight what’s changing over time, making it easier to spot emerging trends, creative fatigue, and new campaign strategies before they become widespread.

NINA

NINA is an in-product AI assistant that helps SaaS users complete tasks without leaving the interface to search documentation or contact support.

Users can ask questions by voice or text, and NINA responds with step-by-step guidance directly inside the product, highlighting where to click and what to do next as they go.

For product and support teams, that means fewer repetitive onboarding calls, fewer “how do I?” tickets, and an easier way to help users succeed without interrupting their workflow.

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