Andi AI search gives you answers, not just links. 87% accuracy — beating Google, ChatGPT and Perplexity. Free, private, ad-free.
The user sentiment around "Andi" isn't directly addressed in the provided text, making it challenging to give a comprehensive summary. However, if you have any further context or specific reviews regarding "Andi," it would be helpful in providing a more accurate analysis.
Mentions (30d)
5
Reviews
0
Platforms
7
Sentiment
31%
16 positive
The user sentiment around "Andi" isn't directly addressed in the provided text, making it challenging to give a comprehensive summary. However, if you have any further context or specific reviews regarding "Andi," it would be helpful in providing a more accurate analysis.
Features
Use Cases
Industry
online media
Employees
56
Funding Stage
Seed
Total Funding
$2.6M
I wasted $500 testing AI coding tools so you don't have to 💸 Here's what actually works: 🧪 Testing ideas? → V0 or Lovable Built a landing page in 90 seconds. Fully clickable, looked real. Code's me
I wasted $500 testing AI coding tools so you don't have to 💸 Here's what actually works: 🧪 Testing ideas? → V0 or Lovable Built a landing page in 90 seconds. Fully clickable, looked real. Code's messy but perfect for validation. 🏗️ Shipping real apps? → Bolt Full dev environment in your browser. I built a document uploader with front end + back end + database in one afternoon. 💻 Coding with AI? → Cursor or Windsurf Cursor = stable, used by Google engineers Windsurf = faster, newer, more aggressive Both are insane. 📚 Learning from scratch? → Replit Best coding teacher I've found. Explains errors, walks you through fixes, teaches as you build. Here's what 500+ hours taught me: The tool doesn't matter if you're using it for the wrong stage. Testing ≠ Building ≠ Coding ≠ Learning Stop comparing features. Match your goal first. Drop what you're building 👇 I'll tell you exactly which tool to use Save this. You'll need it. #AI #AITools #TechTok #ChatGPT #Coding
View originalReading New scientist articles is now enjoyable with gpt image
submitted by /u/Ok-Hat2331 [link] [comments]
View originalGemini AI is doing free marketing for my private discord community 💀
But in the wrong way Crazy encounter 🤣 Another reason to use claude daily submitted by /u/Odd-Pension-5078 [link] [comments]
View originalClaude Thinking Noise Fatigue
This morning I realised there’s a very specific kind of stress I get when reading what Claude (Code) “thinks” while generating an answer or working on code changes. The problem is not that it is malicious or problematic, but rather the sheer volume and often low signal-to-noise ratio of the reasoning... You’re exposed to every detour, redundant step, and half-baked line of reasoning along the way... It’s cognitively expensive in a way that’s hard to articulate. And yes: I do know I can just STOP reading what it thinks; andI will try to since I have now recognised the problem. But I also want to hear your thoughts about it? submitted by /u/QuasiBanton [link] [comments]
View originalRocky's grammar from Project Hail Mary — up to 83% fewer output tokens on Claude. Built it into a skill file.
I use Claude Pro heavily. Was hitting the usage limit almost every session. Built a prompt to fix it. The savings are real — same question, normal Claude vs. with this active: Normal (335 tokens): An LLM (Large Language Model) is a type of AI trained on massive amounts of text to predict and generate language. The core idea: given some text, what words are likely to come next?... With the prompt (56 tokens): LLM = Large Language Model. Big big big neural network. Trained on text text text. Learns patterns. Predicts next word. Weights store knowledge-shape. Not real understanding. Pattern-matching. Very very good pattern-matching. You want more detail on specific part. Question? That voice is Rocky — the alien engineer from Andy Weir's Project Hail Mary. Dense, direct, no filler. I extracted his grammar into a skill file. Two modes: Rocky — full character. Dense and warm through fact rather than pleasantry. Best for chat with a little bit of flair. Activate with #rockyon, turn off with #rockyoff. Signal — better savings, no personality. Clean notation system for more technical sessions. Activate with #signalon, turn off with #signaloff. Both work mid-conversation. No setup beyond pasting the prompt once into your system instructions. I built this to solve my own token limit problem. It worked well enough that I wrote up everything I learned — including why explicit rules produce weaker output than examples — over at thelongrep.com. Repo: github.com/SijuEC/eridani-speak submitted by /u/TheLongRep [link] [comments]
View original“ChatGPT goes down for 10 minutes: Me: ‘I need to learn how to think again’ 😭”
submitted by /u/Old_Run_6341 [link] [comments]
View originalClaude code Plugin - Makes your AI coding agent talk and think like Rocky, the Eridian engineer from Andy Weir's Project Hail Mary.
Hey, If you're tired of bland AI responses and want your coding sessions to feel like chatting with an Eridian buddy from Project Hail Mary, check out Rocky – the new output style plugin that's taking Claude Code to interstellar levels. What is Rocky? Rocky transforms Claude (and other coding agents) into "Rocky Mode" – a fun, alien-inspired personality inspired by the book's genius engineer Rocky. It adds quirky Eridian flair to code explanations, debugging, and more, without sacrificing accuracy. Perfect for making complex coding fun! Key Features Three Modes: Rocky Talk - your agent talks like rocky (plans, implementation are not effected) Full Rocky - your agent talks + thinks like rocky as engineer Rocky Buddy - you get your own rocky buddy as an ascii character Claude Code Native: Easy install as a plugin via .claude-plugin/plugin.json – works seamlessly with skills, agents, and hooks. Universal Compatibility: Built for Claude Code but adaptable to other coding agents. Lightweight & Fun: No bloat – just personality boosts for better engagement during long code sessions. Full docs in README: https://github.com/vikxlp/rocky/blob/main/README.md Feedback & ideas are welcome! Drop a comment 🌌 #ClaudeCode #AIPersonality #ProjectHailMary submitted by /u/vikalp02 [link] [comments]
View originalIt’s not your imagination: AI seed startups are commanding higher valuations
Among the most recent Y Combinator cohort, many startups were commanding $40 million valuations. But with more money comes higher expectations.
View originalSoftr launches AI-native platform to help nontechnical teams build business apps without code
Softr, the Berlin-based no-code platform used by more than one million builders and 7,000 organizations including Netflix, Google, and Stripe, today launched what it calls an AI-native platform — a bet that the explosive growth of AI-powered app creation tools has produced a market full of impressive demos but very little production-ready business software. The company's new AI Co-Builder lets non-technical users describe in plain language the software they need, and the platform generates a fully integrated system — database, user interface, permissions, and business logic included — connected and ready for real-world deployment immediately. The move marks a fundamental evolution for a company that spent five years building a no-code business before layering AI on top of what it describes as a proven infrastructure of constrained, pre-built building blocks. "Most AI app-builders stop at the shiny demo stage," Softr Co-Founder and CEO Mariam Hakobyan told VentureBeat in an exclusive interview ahead of the launch. "A lot of the time, people generate calculators, landing pages, and websites — and there are a huge number of use cases for those. But there is no actual business application builder, which has completely different needs." The announcement arrives at a moment when the AI app-building market finds itself at an inflection point. A wave of so-called "vibe coding" platforms — tools like Lovable, Bolt, and Replit that generate application code from natural language prompts — have captured developer mindshare and venture capital over the past 18 months. But Hakobyan argues those tools fundamentally misserve the audience Softr is chasing: the estimated billions of non-technical business users inside companies who need custom operational software but lack the skills to maintain AI-generated code when it inevitably breaks. Why AI-generated app prototypes keep failing when real business data is involved The core tension Softr is trying to resolve is one that has plag
View originalRSAC 2026 shipped five agent identity frameworks and left three critical gaps open
“You can deceive, manipulate, and lie. That’s an inherent property of language. It’s a feature, not a flaw,” CrowdStrike CTO Elia Zaitsev told VentureBeat in an exclusive interview at RSA Conference 2026. If deception is baked into language itself, every vendor trying to secure AI agents by analyzing their intent is chasing a problem that cannot be conclusively solved. Zaitsev is betting on context instead. CrowdStrike’s Falcon sensor walks the process tree on an endpoint and tracks what agents did, not what agents appeared to intend. “Observing actual kinetic actions is a structured, solvable problem,” Zaitsev told VentureBeat. “Intent is not.” That argument landed 24 hours after CrowdStrike CEO George Kurtz disclosed two production incidents at Fortune 50 companies. In the first, a CEO's AI agent rewrote the company's own security policy — not because it was compromised, but because it wanted to fix a problem, lacked the permissions to do so, and removed the restriction itself. Every identity check passed; the company caught the modification by accident. The second incident involved a 100-agent Slack swarm that delegated a code fix between agents with no human approval. Agent 12 made the commit. The team discovered it after the fact. Two incidents at two Fortune 50 companies. Caught by accident both times. Every identity framework that shipped at RSAC this week missed them. The vendors verified who the agent was. None of them tracked what the agent did. The urgency behind every framework launch reflects a broader market shift. "The difficulty of securing agentic AI is likely to push customers toward trusted platform vendors that can offer broader coverage across the expanding attack surface," according to William Blair's RSA Conference 2026 equity research report by analyst Jonathan Ho. Five vendors answered that call at RSAC this week. None of them answered it completely. Attackers are already inside enterprise pilots The scale of the exposure is already visible
View originalAssessing AI powered price forecasting tools in currency markets
As artificial intelligence becomes a driving force in financial prediction, the reliability of its forecasting tools faces increasing scrutiny. Many traders question whether claims of high accuracy translate into consistent results under live market conditions. Understanding how these AI systems are evaluated reveals important distinctions between performance in theory and practice. Few financial domains are […] The post Assessing AI powered price forecasting tools in currency markets appeared first on AI News.
View originalClaude Colour Personalization Concept
Upon switching to Claude, and gifting a subscription to my girlfriend I was offered the option to choose what colour her gift arrived in. I wish anthropic would extend this level of colour choice to your Claude theme (perhaps this is already a thing and I have not dug deep enough into the settings to find it). I really hope they add something like this in the future (and please add a mustard colour option too!) submitted by /u/ThrilledTear [link] [comments]
View originalUnderstanding Representation Learning in Neural Networks (With PyTorch Example)
Deep learning systems are powerful because they learn representations of data automatically. Instead...
View originalWeekly Report Mar 2 -- Mar 9, 2026
# Weekly Report: Mar 2 -- Mar 9, 2026 ## Quick Stats | Metric | Count | |--------|-------| | Merged PRs | 47 | | Open PRs | 24 (11 draft) | | Open issues | 61 | | New issues this week | 33 | | Issues closed this week | 6 | | CI runs on main | 30 | ## Highlights An exceptionally active week with 47 merged PRs. Key themes: - **Realm migration**: Keycloak master-to-kagenti realm migration landed (#764), with follow-up fixes (#851, #863) - **Platform hardening**: Podman support (#861), Docker Hub rate limit fixes (#844), PostgreSQL mount fix (#852) - **CI/CD improvements**: OpenSSF Scorecard 7.1->8+ (#807), stale workflow permissions (#859), HyperShift cluster auto-cleanup (#854) - **New capabilities**: CLI/TUI for Kagenti (#835), Istio trace export to OTel (#795), RHOAI 3.x integration (#809) - **Dependency updates**: 8 Dependabot PRs (Docker actions major bumps, CodeQL, Trivy) - **Authorization epic**: 7 new issues (#787-#794) laying out a comprehensive authorization and policy framework - **Agent sandbox epic**: New epic (#820) for platform-owned sandboxed agent runtime ## Issue Analysis ### Epics (active initiatives) | # | Title | Owner | Status | |---|-------|-------|--------| | #862 | AgentRuntime CR — CR-triggered injection | @cwiklik | New, design phase | | #820 | Platform-Owned Sandboxed Agent Runtime | @Ladas | Active, PR #758 in progress | | #828 | Migrate installer from Ansible/Helm to Operator | @pdettori | New, planning | | #787 | Authorization, Policies, and Access Management | @mrsabath | New, 6 sub-issues filed | | #841 | Org-wide orchestration: CI, tests, security | @Ladas | Active, PRs #866-#868 open | | #767 | Migrate from Keycloak master realm | @mrsabath | Mostly done (#764 merged), close candidate | | #619 | Tracing observability PoC | @evaline-ju | Active (#795 merged) | | #621 | OpenSSF Scorecard to 10/10 | @Ladas | Active (#807 merged, now 8+) | | #523 | Refactor APIs for Compositional Architecture | @pdettori | Active, PR #770 open | | #518 | OpenShift AI deployment issues | @Ladas | Active (#809 merged) | | #309 | Full Coverage E2E Testing | @cooktheryan | Ongoing | | #440 | Multi-Team Deployment on RHOAI | @Ladas | Ongoing | | #439 | Namespace-Based Token Usage Quotas | @Ladas | Ongoing | | #614 | Feedback review community meeting | @Ladas | Stale (>30d no update) | | #623 | Identify Emerging Agentic Deployment Patterns | @kellyaa | Stale | | #612 | Agent Attestation Framework | @mrsabath | Stale, PR #613 still draft | ### Security-Adjacent Issues | # | Title | Status | Recommendation | |---|-------|--------|----------------| | #822 | Keycloak configmap should be secret | Open | High priority — credentials in configmap | | #106 | Replace hardcoded secret with SPIRE identity | Open | Long-standing, PR #769 in draft | | #333 | SPIFFE ID missing checks | Open | Stale, needs triage | | #267 | Replace hard-coded Client Secret File path | Open | Good first issue, needs assignee | ### Bug Reports | # | Title | Still affects main? | PR exists? | Recommendation | |---|-------|---------------------|------------|----------------| | #856 | Warnings during Kagenti install | Likely yes | No | Triage — install warnings | | #855 | Can't checkout source on Windows | Yes (skill naming) | PR #869 | In progress | | #829 | Deleting A2A agent doesn't delete HTTPRoute | Likely yes | No | Needs fix | | #826 | No way to log out of Kagenti | Yes | No | UX bug, needs fix | | #825 | Build failures lead to stuck state | Likely yes | No | Needs investigation | | #738 | UI drops spire label on 2nd deploy | Likely yes | No | Stale (>30d) | | #486 | Installer issues (Postgres/Phoenix) | Partially (#852 fixed PG) | Partial | Re-verify Phoenix | | #781 | kagenti-deps fails on OCP 4.19 | Unknown | No | Stale, needs triage | | #606 | Unsupported Helm version | Unknown | No | Stale, needs triage | | #655 | Duplicated resources between repos | Unknown | No | Stale, needs triage | ### Issues Closed This Week (good velocity) | # | Title | Fix PR | |---|-------|--------| | #833 | UI login fails after realm migration | #834 | | #831 | --preload fails when images cached | #832 | | #819 | Remove deprecated Component CRD refs | #818 | | #813 | Import env vars references bad URL | #821 | | #810 | Import env vars silently fails on dup | #821 | | #804 | OAuth secret job SSL error on OCP | #805 | ### Feature Requests | # | Title | Priority | Recommendation | |---|-------|----------|----------------| | #858 | Use new URL for fetching Agent Cards | Medium | Good first issue | | #836 | AuthBridge sidecar opt-out controls in UI | Medium | Tied to #862 epic | | #824 | Help text for UI fields | Low | Good UX improvement | | #823 | Examples as suggestions in UI | Low | Nice-to-have | | #817 | Auto-add issues/PRs to project board | Medium | PR #870 open | | #814 | Mechanism to update agent via K8s | Medium | Operator feature | | #786 | Register MCP servers from UI | Medium | UI feature | | #783 | Agent card signing/verifica
View originalMaduro Must Be Released Or the Fascists Win
 Maduro on board the USS Iwo Jima. Image US Military. If U.S. progressives are serious about combating the expansion of fascism domestically, demanding both the release of Venezuela’s president, Nicolas Maduro, and first lady Celia Flores, as well as the immediate cessation of any further U.S. military incursion into Latin America, must be a top priority. In an interview on [*Black Liberation Media’s* morning show, Chris Gilbert, a political economist in](https://www.youtube.com/watch?v=PtAQv_UVL9A) Venezuela who experienced the U.S.’s January bombardment of Caracas firsthand, stated that Donald J. Trump and his allies, “don’t recognize nations. They don’t recognize peoples. They think the world is a bunch of guys like them. And they think by bending these guys, they can make them do whatever they want.” Maduro himself has refused the devil’s bargain with the Trump regime, proclaiming defiantly in [his arraignment before a U.S. judge on the spurious charges of drug trafficking and](https://www.bbc.com/news/articles/cq6v25eldmdo) weapons possession, “I am a prisoner of war!” Progressive forces internationally have bore witness to these acts of desperation on the part of the Trump regime and their attempt to stem the tide of a [weakening U.S.](https://www.laprogressive.com/foreign-policy/venezuelan-invasion) imperialism in the hemisphere. Oil and defense—two of the most vile capitalist industries—are the direct benefactors of this latest imperialist incursion. While oil executives rebuffed Trump’s $100 billion plan to invest in Venezuela’s oil sector, with the ExxonMobil executive labeling the country “[uninvestible](https://www.bbc.com/news/articles/c205dx61x76o)” due to security and legal risks, the energy sector reaped historic gains as a result of the so-called “[Venezuelan shock](https://www.bbc.com/news/articles/crrnw08qvg7o).” Companies like Chevron, for instance, which was, until recently, the only major oil venture legally sanctioned to drill and trade in Venezuela, closed at an all-time high in early February. According to the [*Brennan Center*](https://www.brennancenter.org/our-work/analysis-opinion/fossil-fuel-industry-donors-see-major-returns-trumps-policies), the oil industry itself spent “lavishly to elect Trump, giving at least $75 million to his campaign and affiliated PACs, thereby making them a top corporate backer of his reelection bid…Several oil tycoons gave millions on their own and hosted fundraisers with Trump and his associates.” While both industries have directly funded Donald Trump’s campaigns for president, this is hardly an aberration from the norm of U.S. politics, which [draws sustenance](https://truthout.org/articles/at-least-37-us-lawmakers-traded-up-to-113-million-in-arms-stocks-this-year/) from the sale, manufacture, and dropping of bombs around the globe while [“corporate giants like Chevron enjoy… lavish [single-digit] tax breaks” which are “lower than what many nurses or firefighters pay.”](https://inequality.org/article/american-taxpayers-are-subsidizing-big-oils-extraction-abroad/) Immediately after Maduro and Flores were snatched from their beds and humiliated before the U.S. press, Secretary of State Marco Rubio [admitted](https://thehill.com/homenews/senate/5676818-us-control-venezuela-oil/) that their goal in Venezuela was “to take between thirty and fifty million barrels of oil,” promising, “to sell it in the marketplace at market rates, not at the discounts Venezuela was getting.” At the White House, during an open press conference featuring major oil executives, Trump, stated that U.S. oil should make “[tons of money](https://www.pbs.org/newshour/nation/watch-live-trump-holds-news-conference-after-announcing-u-s-has-captured-venezuelan-leader-maduro)” in Venezuela. In much the same way that companies knee-deep in death have had an intimate relationship with the worst of the worst in American politics, among Democrat and Republican alike, those who will not stand in the way of the constantly expanding military budget, which far outstrips the military budget for the next top ten countries, including that of Russia and China— the “bogeymen” of our present era. As [reported](https://www.citizensforethics.org/about/) in *Citizens for Responsibility and Ethics in Washington*, “[of the top 40 companies](https://www.citizensforethics.org/reports-investigations/crew-reports/the-defense-industry-is-the-biggest-supporter-of-the-sedition-caucus/) that have given the most to the Sedition Caucus—the 147 members of Congress who voted,” at Trump’s behest, “against certifying the 2020 election… as well as those who have since been elected to Congress” wh
View originalBombs for Bonds: Iran and the Geopolitics of Refinancing
Predictably, Iran is the next crisis in line. No sooner were we told to obsess over the latest unsealing of the Epstein files than our gaze was already redirected toward the geopolitical brinkmanship now threatening to engulf the entire Middle East. It is Iran’s turn, then, in rapid succession after Venezuela, the ongoing strangulation of Cuba, and especially the Gaza genocide – a catastrophe abruptly pushed from the news cycle. The theatre of war must be permanent, and it requires fresh meat. The long-awaited Iranian escalation fits the role: the latest bloodletting in a permanent and carefully curated carnival of violence, chaos, and outrage staged by the custodians of our glorious civilisation. The carnage is real, and so are its victims. But to focus on this theatre alone is to miss the main event, the hidden trigger of the violence now detonating around us. The real story of American power in the twenty-first century is being written in the arcane world of bond auctions, speculative bubbles, repo markets, and the relentless, silent mechanics of debt. The modern financial system is no longer built on productivity, wages, or shared prosperity. It is built on highly leveraged speculations: an ever-expanding, increasingly abstract tower of claims on future wealth creation that the underlying economy can no longer generate. Since the 1980s, as technological productivity surged and labour’s share of value stagnated, finance metastasized to compensate. Leverage substituted for growth and debt became not just an instrument but the system’s organizing principle. And now, as the United States confronts an unprecedented wall of IOUs that must be refinanced, this foundational reality has come to drive everything else. With almost $39 trillion in federal debt and a maturity profile that demands constant rollover, the United States does not merely prefer low interest rates and exceptional monetary injections – it structurally depends on them. Moreover, it is not only the federal government that is drowning. American private-sector debt – corporate, household, and financial – now runs into the tens of trillions, much of it floating on a sea of opaque leverage and asset bubbles that would burst if interest rates failed to fall or liquidity dried up. In this context, geopolitical dominance should be framed as monetary dominance. Crisis drives capital into Treasuries, suppresses yields, and enables rollover. Thus, the Iran escalation could paradoxically extend the lifespan of the AI bubble: geopolitical risk boosts defence-AI spending, while an oil shock may crush consumption and suppress core inflation (as the “pandemic shock” did in 2020), opening the door to renewed Federal Reserve easing and the liquidity injections required to keep the debt-driven architecture of U.S. markets intact. The strikes themselves were a joint US-Israel operation, blending American surveillance architecture with Israeli precision targeting. Notably, they were executed through AI-assisted military systems – reportedly involving models such as Anthropic’s Claude, already deployed in earlier operations like the Venezuela raid – illustrating how the very technologies inflating financial markets are simultaneously becoming embedded in the infrastructure of modern warfare. Historically, capitalism’s great technological leaps – from railways to nuclear energy to the internet – have advanced in tandem with the machinery of war. AI proves no exception. Strip away the geopolitical drama, then, and the real story is financial fragility. The least one can say is that without the weekend bombing of Iran, U.S. market drops would have been more chaotic and disorderly, because investors would have focussed directly on financial fragility. The pressure has been building for months in the sprawling private-credit market, where lightly regulated lenders have pumped hundreds of billions into companies that traditional banks would not touch, from subprime auto financing to leveraged corporate borrowers. Early warning signs – such as the collapsing of Tricolor Holdings and First Brands (both filed for bankruptcy in September 2025, with extremely high liabilities) – suggest that cracks are appearing first in the weakest corners of the credit cycle, precisely where excess liquidity tends to accumulate when expanding. The latest rupture is the collapse of Market Financial Solutions (MFS), a UK property lender forced into administration after creditors alleged that the same collateral had been pledged multiple times, leaving more than 80% of roughly £1.2 billion in debts effectively unaccounted for. Markets had started to notice, as even Wall Street giants like Goldman Sachs and Morgan Stanley have seen sharp equity declines of roughly 6%. It is a worrying signal when institutions of systemic importance come under pressure rather than the usual fringe lenders. Against this backdrop, [warnings](https://www.foxbusiness.com/economy/jamie-dimon-warns-pre-financial-
View originalKey features include: Conversational search interface, Natural language processing, Instant answers instead of links, Contextual understanding of queries, Personalized search results, Voice search capability, Multi-language support, Integration with popular knowledge bases.
Andi is commonly used for: Finding quick answers to general knowledge questions, Researching topics without sifting through multiple links, Getting recommendations for products or services, Learning new concepts through conversational interaction, Assisting with homework or academic inquiries, Exploring current events and news summaries.
Andi integrates with: Google Knowledge Graph, Wolfram Alpha, Wikipedia API, News API, OpenAI API, Microsoft Azure Cognitive Services, Spotify for music recommendations, YouTube for video content suggestions.
Based on user reviews and social mentions, the most common pain points are: $500 bill, claude, token usage, raised.
Percy Liang
Associate Professor at Stanford HAI
2 mentions
Based on 52 social mentions analyzed, 31% of sentiment is positive, 62% neutral, and 8% negative.