Frequently Asked Questions | TECHi®

TECHi® is a technology intelligence platform founded in 2010 that publishes institutional-grade analysis on tech stocks, AI companies, and emerging technologies. Our pillar coverage includes deep dives on Nvidia (NVDA), Apple (AAPL), Tesla (TSLA), Meta (META), Alphabet (GOOGL), and Palantir (PLTR) — plus comprehensive guides on AI stocks, quantum computing stocks, and the AI model landscape. Every analysis is built on SEC filings, earnings transcripts, and company investor relations data.

TECHi is led by Jazib Zaman, Founder & CEO. Jazib is a Forbes Technology Council member, a four-time Presidential Award recipient, and Chairman of the FPCCI Committee on IT & Governance. TECHi is managed by TechAbout LLC, headquartered in Sheridan, Wyoming, with a team of approximately 50 analysts, writers, and editors. Read more on our About page.

Three things separate TECHi from typical tech blogs: Primary-source research — we cite SEC filings and earnings call transcripts, not other blogs. Contrarian analysis — every article examines both the bull case and bear case, including risks that consensus ignores. Pillar content architecture — instead of publishing hundreds of fragmented posts, we maintain continuously updated pillar articles that consolidate all data into one authoritative resource per topic. Our tech stocks hub connects every analysis into a single navigable hierarchy.

Pillar articles are updated after every quarterly earnings cycle, major product announcements, and significant market events. For example, our Nvidia stock analysis is refreshed after every GTC keynote and earnings report. Breaking news articles are published daily. Every article displays its last-updated date so readers always know how current the data is.

TECHi maintains comprehensive pillar analyses on the most important technology stocks: Nvidia (NVDA) — GPU dominance, data center revenue, and the Vera Rubin platform. Apple (AAPL) — iPhone super-cycle thesis, Services growth, and Apple Intelligence. Tesla (TSLA) — Robotaxi timeline, energy storage, and margin recovery. Meta (META) — Reels monetization, Reality Labs, and Llama AI. Alphabet (GOOGL) — Search AI integration, Cloud growth, and Waymo. Palantir (PLTR) — AIP platform, government contracts, and the valuation debate. Plus sector-wide guides on AI stocks and quantum computing stocks.

Every financial figure published on TECHi is sourced from primary documents: SEC filings (10-K, 10-Q, 8-K reports), official company earnings press releases, investor relations pages (e.g., investor.nvidia.com, investor.apple.com), and earnings call transcripts. Analyst price targets are sourced from published research notes by firms such as Morgan Stanley, Goldman Sachs, Citi, and Evercore. We do not rewrite third-party blog summaries or rely on unverified data.

No. All financial analysis and commentary on TECHi is for informational and educational purposes only. We do not provide personalized investment advice, portfolio management, or financial planning services. Our stock analyses include bull, base, and bear scenarios to help readers evaluate opportunities — but every reader should consult a licensed financial advisor before making investment decisions. We include a full disclaimer on every stock analysis article.

Large financial platforms prioritize breadth — covering thousands of tickers with surface-level data. TECHi prioritizes depth. Our pillar articles run 4,000–6,000 words per stock and include elements rarely found on aggregator sites: bull/base/bear forecast scenarios with specific price targets, expert allocation frameworks (e.g., how to deploy $25K across risk profiles), hidden risk analysis that consensus ignores, competitive comparison tables, and full analyst target breakdowns with source attribution. We write for the investor who wants to understand a company, not just see a stock quote.

TECHi covers the full AI ecosystem: the companies building AI infrastructure (Nvidia’s GPU platform), the companies deploying AI at scale (Palantir’s AIP, Meta’s Llama), the AI models themselves (ChatGPT, DeepSeek vs Gemini comparison), and the emerging compute paradigms that will power the next generation (quantum computing). We approach AI from both the technology angle and the investment angle — because understanding how the technology works is essential to understanding which stocks will benefit.

Our AI model comparison guide evaluates models across multiple dimensions: benchmark performance (MMLU, SWE-bench, ARC-AGI-2, HumanEval), pricing for both consumer and API tiers, context window sizes, agentic capabilities, safety profiles, and real-world use case suitability. We source benchmark data from official model cards, peer-reviewed evaluations, and industry-standard leaderboards. Every comparison includes detailed pricing tables so readers can calculate costs for their specific use case.

Yes. Our Best AI Stocks guide is one of our most comprehensive pillar articles, covering the full AI investment stack from semiconductor companies (Nvidia, AMD) to cloud infrastructure (Microsoft, Google, Amazon) to pure-play AI software (Palantir, C3.ai). The guide includes analyst price targets, revenue breakdowns, competitive positioning, and risk factors for each company. It is updated quarterly after earnings.

Every article published on TECHi follows four core principles: Source transparency — financial data links directly to SEC filings, company IR pages, and official earnings reports. Bull and bear analysis — no stock is presented as a guaranteed winner; every piece includes risk factors and downside scenarios. No pay-for-play — editorial coverage is never influenced by advertising relationships. Continuous updates — pillar content is refreshed after every earnings cycle to reflect the latest data. Our full editorial standards are detailed on our About page.

Editorial coverage on TECHi is independent. We never accept payment in exchange for favorable stock analysis, product reviews, or company coverage. When sponsored content or affiliate partnerships exist, they are clearly disclosed. Our stock analyses reflect our editorial team’s independent assessment based on publicly available data — never advertiser influence.

All contributors must follow our editorial policy, which prohibits plagiarism, misinformation, hate speech, and non-compliant language. We require factual reporting backed by primary sources, balanced analysis that presents multiple perspectives, and adherence to compliance standards across all content. Violations result in content removal and contributor dismissal.

If we publish an error — whether a misquoted earnings figure, an incorrect analyst target, or a factual inaccuracy — we correct it promptly and note the correction in the article. Readers can report potential inaccuracies to info@techi.com and we will investigate within 24 hours. Accuracy is not optional in financial analysis; our credibility depends on it.

We are always looking for expert contributors with domain expertise in AI, semiconductors, fintech, enterprise software, or public market analysis. If you can add depth to our coverage and back your analysis with data, reach out at info@techi.com or call +1-307-463-4505. Include writing samples and your areas of expertise.

Email: info@techi.com — General inquiries, partnerships, and contributor applications. Phone: +1-307-463-4505. Address: TechAbout LLC, 30 N Gould St Ste R, Sheridan, Wyoming 82801. We typically respond to emails within one business day.

Yes. We maintain a strict comment policy that prohibits hate speech, harassment, spam, and inappropriate content. Comments are moderated to ensure they contribute to constructive discussion. We reserve the right to remove comments that violate our community standards.

No. TECHi does not publish sexually explicit, graphically violent, or exploitative material. We are not a political or activist site. While we cover developments in tech policy and regulation, we maintain a neutral and balanced tone. Our content is not aligned with any political group or ideology. All content is reviewed to meet our internal editorial guidelines.